Jean-louis Dessalles - Publications     [See all papers] - [Representative Papers] - [Talks]

    
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    Topics

Social signals
Evolutionary origins of language
Evolution and information

Simplicity Theory
Cognitive modelling of interest
Cognitive modelling of relevance
Cognitive modelling of meaning
Cognitive modelling of emotional intensity
Cognitive modelling of concept learning

Emergence as complexity drop
Qualia cannot be epiphenomenal

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My 197 papers

1. Dessalles, J.-L. & Silenno, G. (2024). Simplicity bias in human-generated data. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey & E. Hazeltine (Eds.), Proceedings of the 46th annual conference of the Cognitive Science Society (CogSci-2024), 3637-3643. .
   Keywords: SIMPLICITY       

   
   Texts available on the Web have been generated by human minds. We observe that simple patterns are over-represented: abcdef is more frequent than arfbxg and 1000 appears more often than 1282. We suggest that word frequency patterns can be predicted by cognitive models based on complexity minimization. Conversely, the observation of word frequencies offers an opportunity to infer particular cognitive mechanisms involved in their generation.

            
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2. Lie-Panis, J. & Dessalles, J.-L. (2023). Runaway signals: Exaggerated displays of commitment may result from second-order signaling. Journal of Theoretical Biology, 572, 111586.
   Keywords: SIGNALS       

   
   To demonstrate their commitment, for instance during wartime, members of a group will sometimes all engage in the same ruinous display. Such uniform, high-cost signals are hard to reconcile with standard models of signaling. For signals to be stable, they should honestly inform their audience; yet, uniform signals are trivially uninformative. To explain this phenomenon, we design a simple model, which we call the signal runaway game. In this game, senders can express outrage at non-senders. Outrage functions as a second-order signal. By expressing outrage at non-senders, senders draw attention to their own signal, and benefit from its increased visibility. Using our model and a simulation, we show that outrage can stabilize uniform signals, and can lead signal costs to run away. Second-order signaling may explain why groups sometimes demand displays of commitment from all their members, and why these displays can entail extreme costs.

            
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3. Delarue, S., Viard, T. & Dessalles, J.-L. (2023). Unexpected attributed subgraphs: A mining algorithm. In J. Rokne & D. Wang (Eds.), ASONAM ‘23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 171-178. Association for Computing Machinery.
   Keywords: SIMPLICITY       

   
   We design a pattern mining algorithm to provide a summary of graphs in the form of a set of unexpected patterns, that is, patterns for which there is a drop between their expected complexity and the observed complexity.

            
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4. Sileno, G. & Dessalles, J.-L. (2023). From probabilistic programming to complexity-based programming. European Conference on Artificial Intelligence, 304-317. Cham: Springer Nature Switzerland.
   Keywords: SIMPLICITY       

   
   The paper presents a novel computational framework named CompLog. Inspired by probabilistic programming systems like ProbLog, CompLog builds upon the inferential mechanisms proposed by Simplicity Theory, relying on the computation of two Kolmogorov complexities (here implemented as min-path searches via ASP programs) rather than probabilistic inference.

            
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5. Fadiga, K., Houzé, E., Diaconescu, A. & Dessalles, J.-L. (2023). Improving causal learning scalability and performance using aggregates and interventions. ACM Transactions on Autonomous and Adaptive Systems, 3 (11), 1-18.
   Keywords: LEARNING       

   
   In previous work, we proposed to generate Causal Bayesian Networks (CBN) as follows. Starting with considering all possible relations, we progressively discarded non-correlated variables. Next, we identified causal relations from the remaining correlations by employing “do-operations”. The obtained CBN could then be employed for causal inference. The main challenges of this approach included: “non-doable variables” and limited scalability. To address these issues, we propose three extensions: i) early pruning weakly correlated relations to reduce the number of required do-operations; ii) introducing aggregate variables that summarize relations between weakly-coupled sub-systems; iii) applying the method a second time to perform indirect do interventions and handle non-doable relations. Our proposal leads to a decrease in the number of operations required to learn the CBN and in an increased accuracy of the learned CBN, paving the way towards applications in large CPS.

            
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6. Houzé, E., Dessalles, J.-L., Diaconescu, A. & Menga, D. (2022). What should I notice? Using alogithmic information theory to evaluate the memorability of events in smart homes. Entropy, 24 (346), 1-20.
   Keywords: SIMPLICITY       

   
   With the increasing number of connected devices, complex systems such as smart homes record a multitude of events of various types, magnitude and characteristics. Current systems struggle to identify which events can be considered more memorable than others. In contrast, humans are able to quickly categorize some events as being more “memorable” than others. They do so without relying on knowledge of the system’s inner working or large previous datasets. Having this ability would allow the system to: (i) identify and summarize a situation to the user by presenting only memorable events; (ii) suggest the most memorable events as possible hypotheses in an abductive inference process. Our proposal is to use Algorithmic Information Theory to define a “memorability” score by retrieving events using predicative filters. We use smart-home examples to illustrate how our theoretical approach can be implemented in practice.

            
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7. Houzé, E., Dessalles, J.-L., Diaconescu, A., Menga, D. & Schumann, M. (2022). A decentralized explanatory system for intelligent cyber-physical systems. In K. Arai (Ed.), Intelligent Systems and Applications. IntelliSys 2021, 719-738. Lecture Notes in Networks and Systems, vol 294. Springer.
   Keywords: ARGUMENTATION       

   
   The Internet of Things (IoT) has been a prominent application for Intelligent Systems in recent years. While the increasing demand for explanations led to many advances in Explainable Artificial Intelligence (XAI), most solutions focus on systems where a single agent takes all decisions to be explained. However within the IoT context, Cyber-Physical Systems (CPS) are decentralized, with multiple agents coordinating their decisions to control the overall CPS. By contrast users expect coherent system-wide explanations, as if they were generated by a single agent. We propose a decentralized Explanation System generating such explanations while preserving the advantages of decentralized control: separation of concerns, heterogeneity, flexibility, ...Our architecture relies on: i) decentralized XAI Component specialists for providing partial explanations based on local knowledge; ii) a central generic Spotlight composing local explanations into a global explanation. We illustrate and qualitatively evaluate our approach via a proof-of-concept implementation for a smart home system.

            
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8. Sileno, G. & Dessalles, J.-L. (2022). Unexpectedness and Bayes’ Rule. In A. Cerone (Ed.), 3rd International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications (CIFMA), 107-116. Switzerland: Springer Nature.
   Keywords: SIMPLICITY       

   
   We suggest that Bayes’ rule can be seen as a specific instance of a more general inferential template that can be expressed in terms of algorithmic complexities, namely through the measure of unexpectedness proposed by Simplicity Theory.

            
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9. Dessalles, J.-L. (2021). Understanding Artificial Intelligence through Algorithmic Information Theory (MOOC). edX, , IMTx AIAI1.
   Keywords: SIMPLICITY       

   
   This MOOC is about applying Algorithmic Information Theory to Artificial Intelligence. Algorithmic information was discovered half a century ago. It is a great conceptual tool to describe what artificial intelligence actually does, and what it should do to make optimal choices.

            
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10. Fadiga, K., Diaconescu, A., Dessalles, J.-L. & Houzé, E. (2021). To do or not to do: finding causal relations in smart homes. 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021, 110-119. Washington, DC, USA: .
    Keywords: LEARNING       

    
    Human beings understand causal relationships through observations, actions and counterfactual reasoning. While data-driven methods achieve high levels of correlation detection, they mainly fall short of finding causal relations, notably being limited to observations only. In this paper, we propose an approach to learn causal models, combining observed data and selected interventions on the environment. We use this approach to generate Causal Bayesian Networks, which can be later used to perform diagnostic and predictive inference. We use our method on a smart home simulation, a use case where having knowledge of causal relations pave the way towards explainable systems. Our algorithm succeeds in generating a Causal Bayesian Network close to the simulation’s ground truth causal interactions, showing encouraging future prospects for application in real-life systems.

             
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11. Dessalles, J.-L. (2021). Le « fruit du hasard » est-il comestible ? Pourquoi moi ? Le hasard dans tous ses états, 59-66. Paris: Belin.
    Keywords: SIMPLICITY       

    
    Comment décider si un événement est le fruit du hasard ou, au contraire, découle d’une causalité ciblée ? La question est fondamentale. Il en va des décisions que nous allons prendre et, parfois, de notre sécurité. Sur quels critères décidons- nous qu’un événement est ou n’est pas fortuit ? Si notre jugement en la matière est valide, comment expliquer qu’il puisse conduire des individus rationnels à rejeter systématiquement l’existence du hasard, pour lui préférer l’hypothèse de complots, d’infl uences magiques ou de la main du destin ? Et si cette capacité de jugement concernant le hasard n’est pas valide, comment expliquer que nous en soyons dotés ?

                  
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12. Dessalles, J.-L. (2021). Y a-t-il de l’intelligence dans l’intelligence artificielle ? The Conversation, , 23 mars.
    Keywords: LEARNING       

    
    Devrons-nous bientôt nous soumettre avec résignation à l’inévitable suprématie de l’intelligence artificielle ? Avant d’en appeler à la révolte, essayons de regarder à quoi nous avons affaire.

             
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13. Houzé, E., Diaconescu, A. & Dessalles, J.-L. (2021). Using Decentralised Conflict-Abduction-Negation in Policy-making. 1st Workshop on Agent-based Modelling and Policy-Making Vilnius (hybrid), Lithuania: .
    Keywords: ARGUMENTATION       
             
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14. Dessalles, J.-L. (2021). Un robot capable de calculer sa responsabilité sera-t-il responsable de ses actes? In G. Aïdan & D. Bourcier (Eds.), Humain non-Humain - Repenser l’intériorité du sujet de droit, 47-56. Paris: Librairie LGDJ.
    Keywords: SIMPLICITY       

    
    Le 13 septembre 1916, une éléphante de cinq tonnes prénommée Mary fut pendue à Erwin dans le Tennessee, devant un public de 2500 personnes, à l’aide d’une grue...

             
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15. Dessalles, J.-L. (2020). Language: The missing selection pressure. Theoria et Historia Scientiarum, 17
    Keywords: EVOL.&LANG.       

    
    Human beings are talkative. What advantage did their ancestors find in communicating so much? Numerous authors consider this advantage to be “obvious” and “enormous”. If so, the problem of the evolutionary emergence of language amounts to explaining why none of the other primate species evolved anything even remotely similar to language. I propose to reverse the picture. On closer examination, language resembles a losing strategy. Competing for providing other individuals with information, sometimes striving to be heard, makes apparently no sense within a Darwinian framework. At face value, language as we can observe it should never have existed or should have been counter-selected. In other words, the selection pressure that led to language is still missing. The solution I propose consists in regarding language as a social signaling device that developed in a context of generalized insecurity that is unique to our species. By talking, individuals advertise their alertness and their ability to get informed. This hypothesis is shown to be compatible with many characteristics of language that otherwise are left unexplained.

             
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16. Dessalles, J.-L. (2020). La transmission "naturelle" des savoirs. In P. Pion & N. Schlanger (Eds.), Apprendre - Archéologie de la transmission des savoirs, 49-58. Paris: La Découverte.
    Keywords: LEARNING       

    
    Les sociétés de chasseurs-cueilleurs n’ont pas d’écoles. Elles accumulent pourtant des savoirs, elles possèdent des langues et des cultures sophistiquées. Si l’on compare notre espèce aux autres primates, tout est différent. Les cultures animales existent, mais elles sont si restreintes qu’elles sont longtemps passées inaperçues aux yeux des éthologues. Pourquoi existe-t-il tant de « savoirs » dans notre espèce ? Et pourquoi les transmettons-nous ? Si la question semble saugrenue, c’est parce que nous avons perdu de vue le caractère apparemment contre-nature de ce comportement.

             
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17. Galárraga, L., Delaunay, J. & Dessalles, J.-L. (2020). REMI: Mining Intuitive Referring Expressions on Knowledge Bases. Advances in Database Technology (EDBT 2020), 387-390. Denmark: Virtual event.
    Keywords: SIMPLICITY       

    
    A referring expression (RE) is a description that identifies a set of instances unambiguously. Mining REs from data finds applications in natural language generation, algorithmic journalism, and data maintenance. Since there may exist multiple REs for a given set of entities, it is common to focus on the most intuitive ones, ie, the most concise and informative. In this paper we present REMI, a system that can mine intuitive REs on large RDF knowledge bases. Our experimental evaluation shows that REMI finds REs deemed intuitive by users. Moreover we show that REMI is several orders of magnitude faster than an approach based on inductive logic programming.

             
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18. Murena, P.-A., Al-Ghossein, M., Dessalles, J.-L. & Cornuéjols, A. (2020). Solving analogies on words based on minimal complexity transformation. International Joint Conference on Artificial Intelligence (IJCAI), 1848-1854. .
    Keywords: SIMPLICITY       

    
    Analogies are 4-ary relations of the form “A is to B as C is to D”. When A, B and C are fixed, we call analogical equation the problem of finding the correct D. A direct applicative domain is Natural Language Processing, in which it has been shown successful on word inflections, such as conjugation or declension. If most approaches rely on the axioms of proportional analogy to solve these equations, these axioms are known to have limitations, in particular in the nature of the considered flections. In this paper, we propose an alternative approach, based on the assumption that optimal word inflections are transformations of minimal complexity. We propose a rough estimation of complexity for word analogies and an algorithm to find the optimal transformations. We illustrate our method on a large-scale benchmark dataset and compare with state-of-the-art approaches to demonstrate the interest of using complexity to solve analogies on words.

             
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19. Gaucherel, C., Gouyon, P.-H. & Dessalles, J.-L. (2019). Information, the hidden side of life. London: ISTE John Wiley.
    Keywords: EVOL.&INFORM.       

    
    This book explores the unity of life. It proposes that the concept of information is the inner essence of what we today call life.
    The importance of information for our species is obvious. Human beings are highly dependent on information, constantly exchanging with conspecifics. In a less apparent way, we are the product of genetic and epigenetic information which determines our development in a given environment from a fertilized egg to the adult stage. Even less apparent is that information plays a determining role in ecosystems. This observation may include the prebiotic systems in which life emerged.
    Our claim is that Nature processes information continuously. This means that even beyond living entities, we can see messages and decoding procedures. Nature can be said to send messages to its own future and then to decode them. Nature "talks" to itself! The systematic organization of messages suggests that, in some respects, we should even speak of the "languages" of Nature.

                            
20. Dessalles, J.-L. (2019). From reflex to reflection: Two tricks AI could learn from us. Philosophies, 4 (2), 27.
    Keywords: LEARNING  SIMPLICITY       

    
    Deep learning and other similar machine learning techniques have a huge advantage over other AI methods: they do function when applied to real-world data, ideally from scratch, without human intervention. However, they have several shortcomings that mere quantitative progress is unlikely to overcome. The paper analyses these shortcomings as resulting from the type of compression achieved by these techniques, which is limited to statistical compression. Two directions for qualitative improvement, inspired by comparison with cognitive processes, are proposed here, in the form of two mechanisms: complexity drop and contrast. These mechanisms are supposed to operate dynamically and not through pre-processing as in neural networks. Their introduction may bring the functioning of AI away from mere reflex and closer to reflection.

             
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21. Dessalles, J.-L. (2019). Intelligence artificielle: Qui doit craindre pour son emploi ? Le nouveau magazine littéraire, 16, 34-36.
    Keywords: LEARNING       

    
    En 2013, une étude alarmiste1 annonce un risque de disparition imminente, en quatre ans seulement, de la moitié des emplois aux États-Unis par l’introduction massive de l’intelligence artificielle dans le monde du travail. Or, rien de tel ne s’est produit2. Se pourrait-il que ces discours qui présentent l’IA comme un bouleversement absolu soient juste un moyen d’attirer l’attention, extrapolant abusivement une réalité bien modeste faite de techniques balbutiantes ?

             
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22. Dessalles, J.-L. (2019). Des intelligences très artificielles. Paris: Odile Jacob.
    Keywords: SIMPLICITY       

    
    Si vous marchez à reculons, les traces de pas que vous voyez devant vous sont les vôtres. Aucun robot, aucune intelligence artificielle (IA) ne sait ce genre de choses, sauf si l’on a pensé à les lui dire. Les IA sont-elles si intelligentes que cela ? À bien y regarder, elles apparaissent très intelligentes et très stupides à la fois. Pour quelle raison ? En sera-t-il toujours ainsi ? Dans ce livre, Jean-Louis Dessalles aborde ces questions d’une manière précise et accessible à tous. Chaque lecteur trouvera dans ce livre de quoi le surprendre. Il nous parle du passé, du présent et du futur des IA. Il évoque même ce qui, selon lui, leur manque pour devenir... intelligentes.

             
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23. Sileno, G. & Dessalles, J.-L. (2018). Qualifying Causes as Pertinent. In T. T. Rogers, M. Rau, X. Zhu & C. W. Kalish (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society, 2488-2493. Austin, TX: Cognitive Science Society.
    Keywords: SIMPLICITY       

    
    Several computational methods have been proposed to evaluate the relevance of an instantiated cause to an observed consequence. The paper reports on an experiment to investigate the adequacy of some of these methods as descriptors of human judgments about causal relevance.

             
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24. Dessalles, J.-L. (2018). Remembered events are unexpected (Commentary on Mahr & Csibra: Why do we remember? The communicative function of episodic memory). Behavioral and Brain Sciences, 41, 22.
    Keywords: NARRATIVE       

    
    We remember a small proportion of our experiences as events. Are these events selected because they are useful and can be proven true, or rather because they are unexpected?

             
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25. Sileno, G., Bloch, I., Atif, J. & Dessalles, J.-L. (2018). Computing Contrast on Conceptual Spaces. 6th International Workshop on Artificial Intelligence and Cognition (AIC 2018), 11-25. CEUR Workshop Proceedings.
    Keywords: MEANING       

    
    This paper provides an updated formalization of the operation of contrast, and shows that, by applying it on conceptual spaces, membership functions to categories as e.g. those captured by adjectives or directional relationships emerge as a natural by-product. Because the outcome of contrast depends not only on the objects contrasted (a target and a reference, as for instance a prototype), but also on the frame in which those are contained, it is argued that contrast enables a continuous contextualization, offering a basis for "on the fly" predication. This investigation is used for inferring general requirements for the application of contrast and its generalization, and for comparison with current practices in the conceptual space literature.

             
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26. Murena, P.-A., Cornuéjols, A. & Dessalles, J.-L. (2018). Opening the parallelogram: Considerations on non-Euclidean analogies. In M. T. Cox, P. Funk & S. Begum (Eds.), Case-Based Reasoning Research and Development - ICCBR 2018, 597-611. Lecture Notes in Computer Science, vol 11156.
    Keywords: LEARNING  SIMPLICITY       

    
    Analogical reasoning is a cognitively fundamental way of reasoning by comparing two pairs of elements. Several computational approaches are proposed to efficiently solve analogies: among them, a large number of practical methods rely on either a parallelogram representation of the analogy or, equivalently, a model of proportional analogy. In this paper, we propose to broaden this view by extending the parallelogram representation to differential manifolds, hence spaces where the notion of vectors does not exist. We show that, in this context, some classical properties of analogies do not hold any longer. We illustrate our considerations with two examples: analogies on a sphere and analogies on probability distribution manifold.

             
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27. Dessalles, J.-L. (2018). Self-sacrifice as a social signal (Commentary on H. Whitehouse: Dying for the group: Towards a general theory of extreme self-sacrifice). Behavioral and Brain Sciences, 41 (e200), 20-21.
    Keywords: SIGNALS       

    
    Self-sacrifice can be modeled as costly social signal carried to the ultimate extreme. Such signaling may be evolutionarily stable if social status is in part inherited.

             
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28. Sileno, G., Bloch, I., Atif, J. & Dessalles, J.-L. (2017). Similarity and contrast on conceptual spaces for pertinent description generation. In G. Kern-Isberner, J. Fürnkranz & M. Thimm (Eds.), KI 2017: Advances in Artificial Intelligence - LNAI 10505, 262-275. Cham, CH: Springer.
    Keywords: MEANING       

    
    Within the general objective of conceiving a cognitive architecture for image interpretation able to generate outputs relevant to several target user profiles, the paper elaborates on a set of operations that should be provided by a cognitive space to guarantee the generation of relevant descriptions. First, it attempts to define a working definition of contrast operation. Then, revisiting well-known results in cognitive studies, it sketches a definition of similarity based on contrast, distinguished from the metric defined on the conceptual space.

             
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29. Murena, P.-A., Cornuéjols, A. & Dessalles, J.-L. (2017). Incremental learning with the minimum description length principle. International Joint Conference on Neural Networks (IJCNN 2017) Anchorage, Alaska: .
    Keywords: SIMPLICITY       

    
    Incremental learning designates online learning of a model from streaming data. In non-stationary environments, the process generating these data may change over time, hence the learned concept becomes invalid. Adaptation to this non-stationary nature, called concept drift, is an intensively studied topic and can be reached algorithmically by two opposite approaches: active or passive approaches. We propose a formal framework to deal with concept drift, both in active and passive ways. Our framework is derived from the Minimum Description Length principle and exploits the algorithmic theory of information to quantify the model adaptation. We show that this approach is consistent with state of the art techniques and has a valid probabilistic counterpart.

             
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30. Dessalles, J.-L. (2017). Conversational topic connectedness predicted by Simplicity Theory. In G. Gunzelmann, A. Howes, T. Tenbrink & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society, 1914-1919. Austin, TX: Cognitive Science Society.
    Keywords: SIMPLICITY  NARRATIVE       

    
    People avoid changing subject abruptly during conversation. There are reasons to think that this constraint is more than a social convention and is deeply rooted in our cognition. We show here that the phenomenon of topic connectedness is an expected consequence of the maximization of unexpectedness and that it is predicted by Simplicity Theory.

             
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31. Sileno, G., Saillenfest, A. & Dessalles, J.-L. (2017). A computational model of moral and legal responsibility via simplicity theory. In A. Wyner & G. Casini (Eds.), 30th international conference on Legal Knowledge and Information Systems (JURIX 2017), 171-176. Frontiers in Artificial Intelligence and Applications, 302.
    Keywords: SIMPLICITY  EMOTION       

    
    Responsibility, as referred to in everyday life, as explored in moral philosophy and debated in jurisprudence, is a multiform, ill-defined but inescapable notion for reasoning about actions. Its presence in all social constructs suggests the existence of an underlying cognitive base. Following this hypothesis, and building upon simplicity theory, the paper proposes a novel computational approach.

             
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32. Murena, P.-A., Dessalles, J.-L. & Cornuéjols, A. (2017). A complexity based approach for solving Hofstadter’s analogies. In A. Sanchez-Ruiz & A. Kofod-Petersen (Eds.), Workshops of the International Conference on Case-Based Reasoning (ICCBR-WS 2017), 53-62. Trondheim, Norway: .
    Keywords: SIMPLICITY       

    
    Analogical reasoning is still a difficult task for machines. In this paper, we consider the problem of analogical reasoning and assume that the relevance of a solution can be measured by the complexity of the analogy. This hypothesis is tested in a basic alphanumeric micro-world.

             
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33. Saillenfest, A., Dessalles, J.-L. & Auber, O. (2016). Role of simplicity in creative behaviour: The case of the poietic generator. In F. Pachet, A. Cardoso, V. Corruble & F. Ghedini (Eds.), Proceedings of the Seventh International Conference on Computational Creativity (ICCC-2016), 33-40. Paris, France: Sony CSL.
    Keywords: SIMPLICITY       

    
    We propose to apply Simplicity Theory (ST) to model interest in creative situations. ST has been designed to describe and predict interest in communication. Here we use ST to derive a decision rule that we apply to a simplified version of a creative game, the Poietic Generator. The decision rule produces what can be regarded as an elementary form of creativity. This study is meant as a proof of principle. It suggests that some creative actions may be motivated by the search for unexpected simplicity.

             
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34. Dessalles, J.-L. (2016). Le protolangage : de quoi les hominidés parlaient-ils ? In A. Bertand (Ed.), Condillac, philosophe du langage ?, 27-54. Paris: ENS Editions.
    Keywords: EVOL.&LANG.       

    
    L’un des grands mérites que l’on doit reconnaître à Condillac est d’avoir posé la question de l’origine du langage, à une époque où la réponse évidente de l’origine divine obscurcissait le champ de l’investigation scientifique. D’une évidence, il a fait une question, et cette question continue de nous hanter. L’enjeu, derrière la question de l’origine du langage, est de comprendre l’origine d’un ensemble facultés mentales par laquelle nous aimons à nous distinguer des autres animaux. De tous nos prédécesseurs, à travers les quelque trois cent mille générations qui nous séparent de nos ancêtres simiesques, lequel a émis la première phrase, le premier mot, le premier geste référentiel ? Pourquoi est-ce arrivé dans notre lignée, et seulement dans notre lignée ? Comment et pourquoi cette innovation s’est-elle amplifiée jusqu’à produire le langage tel qu’il est pratiqué actuellement par tous les êtres humains ?

                            
35. Dessalles, J.-L. (2016). Un phénomène biologique unique. TDC, 1106, 52-57.
    Keywords: EVOL.&LANG.       

    
    LONGTEMPS considérée comme une question taboue par les scientifiques, l’origine du langage est devenue un thème à la mode. On peut s’en féliciter, tant il est au centre de ce qui nous distingue des autres animaux. Mais sachant que le langage ne laisse pas de fossiles, peut-on faire autre chose qu’émettre des hypothèses invérifiables à propos de son origine ?

             
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36. Dessalles, J.-L. (2016). L’émergence du sens au cours de l’évolution. Langages, 201, 129-142.
    Keywords: MEANING       

    
    Pour Darwin, les facultés mentales de l’être humain diffèrent de celles des autres animaux par leur degré et non par leur nature. Pourtant, l’analyse des compétences cognitives humaines révèle certaines opérations qui ne prennent leur sens que par rapport au langage. Par exemple, les mécanismes qui nous permettent de combiner les significations ou de former des prédicats sont essentiels pour raconter ou pour argumenter. En revanche, ils n’ont pas de rôle comportemental évident. Il est alors tentant de penser que ces mécanismes cognitifs sont propres à notre espèce et qu’ils sont apparus dans un ordre défini au cours de la phylogenèse, pour remplir des fonctions langagières particulières.

        
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37. Dessalles, J.-L. (2016). How concepts differ from predicates. Cognitive Structures 2016 - Linguistic, philosophical and psychological perspectives, 36-38. Düsseldorf, D: Heinrich-Heine-Universität.
    Keywords: MEANING       

    
    Considering concepts as mental representations, should we regard them as perceptual prototypes or rather as symbolic entities?

             
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38. Dessalles, J.-L. (2016). Narration and reasoning, from structure to biological function. In A. Rocci & L. de Saussure (Eds.), Handbook of Communication Science, 205-223. Berlin: De Gruyter Mouton.
    Keywords: ARGUMENTATION  NARRATIVE       

    
    Human conversation has a particular structure that bears no resemblance with any other known communication system. People’s spontaneous talking comes in two forms: narratives and collective argumentative reasoning. This characteristic conversational structure cannot be fortuitous. Conversation is a costly behaviour, if only by the time and energy it demands. Surprisingly, there have been few attempts to relate conversational structure to any biological function it may have. This chapter illustrates conversational structure with examples and explores the issue of its biological purpose.

             
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39. Dessalles, J.-L., Gaucherel, C. & Gouyon, P.-H. (2016). Le fil de la vie - La face immatérielle du vivant. Paris: Odile Jacob.
    Keywords: EVOL.&INFORM.       

    
    Et si certaines entités vivantes n’étaient pas matérielles ? Potentiellement éternelles, en lutte pour la survie, elles évoluent. Elles constituent ce qui unit les êtres à travers le temps. Elles sont le fil de la vie.
    Ces entités vivantes immatérielles sont des informations. Elles existent à travers nous, dans nos gènes, dans notre culture, dans nos écosystèmes. La vie produit l’information, lit l’information et se définit par l’information qu’elle porte. Ce livre nous aide à comprendre le monde vivant d’une manière toute nouvelle !
    Il est le résultat de discussions passionnées entre trois chercheurs qui, chacun à sa manière, étaient parvenus au même questionnement à propos de la nature. Ils nous proposent une nouvelle description du vivant, où la lutte pour l’existence n’est pas celle des êtres, mais des messages qui passent à travers eux et dont ils sont les hôtes éphémères.

             
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40. Dessalles, J.-L. (2016). A Cognitive Approach to Relevant Argument Generation. In M. Baldoni, C. Baroglio, F. Bex, T. D. Bui, F. Grasso & et al. (Eds.), Principles and Practice of Multi-Agent Systems, LNAI 9935, 3-15. Springer.
    Keywords: ARGUMENTATION       

    
    Acceptable arguments must be logically relevant. This paper describes an attempt to retro-engineer the human argumentative competence. The aim is to produce a minimal cognitive procedure that generates logically relevant arguments at the right time. Such a procedure is proposed as a proof of principle. It relies on a very small number of operations that are systematically performed: logical conflict detection, abduction and negation. Its eventual vali-dation however depends on the quality of the available domain knowledge.

             
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41. Saillenfest, A. & Dessalles, J.-L. (2015). Some probability judgements may rely on complexity assessments. Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2069-2074. Austin, TX: Cognitive Science Society.
    Keywords: SIMPLICITY       

    
    Human beings do assess probabilities. Their judgments are however sometimes at odds with probability theory. One possibility is that human cognition is imperfect or flawed in the probability domain, showing biases and errors. Another possibility, that we explore here, is that human probability judgments do not rely on a weak version of probability calculus, but rather on complexity computations. This hypothesis is worth exploring, not only because it predicts some of the probability ‘biases’, but also because it explains human judgments of uncertainty in cases where probability calculus cannot be applied. We designed such a case in which the use of complexity when judging uncertainty is almost transparent.

             
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42. Dessalles, J.-L. (2015). L’imaginaire de la narration : une approche cognitive. In P. Musso, S. Coiffier & J.-F. Lucas (Eds.), Pour innover, modéliser l’imaginaire - Regards croisés d’industriels et de chercheurs, 154-167. Paris: Editions Manucius.
    Keywords: NARRATIVE  SIMPLICITY       

    
    Quelles sont les propriétés dont doit jouir une histoire pour être une histoire ? Il est possible de répondre à cette question en se plaçant dans le cadre de la modélisation cognitive. La notion centrale développée ici est celle de simplicité cachée. Pour être intéressante, une situation imaginaire doit comporter une « révélation » qui simplifie une situation perçue comme complexe. Ce cadre conceptuel peut avoir des retombées qui débordent le domaine de la production narrative. Il concerne potentiellement toute création de l’esprit censée intéresser autrui. Ceci inclut les récits, mais aussi les objets ou les projets, dès lors que ces objets ou ces projets se voient dotés d’une valeur narrative.

             
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43. Dessalles, J.-L. (2015). From conceptual spaces to predicates. In F. Zenker & P. Gärdenfors (Eds.), Applications of conceptual spaces: The case for geometric knowledge representation, 17-31. Dordrecht: Springer.
    Keywords: MEANING       

    
    Why is a red face not really red? How do we decide that this book is a textbook or not? Conceptual spaces provide the medium on which these computations are performed, but an additional operation is needed: Contrast.

             
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44. Saillenfest, A. & Dessalles, J.-L. (2014). Can Believable Characters Act Unexpectedly? Literary & Linguistic Computing, 29 (4), 606-620.
    Keywords: NARRATIVE  SIMPLICITY       

    
    Unexpectedness is a major factor controlling interest in narratives. Emotions, for instance, are felt intensely if they are associated with unexpected events. The problem with generating unexpected situations is that either characters, or the whole story, are at risk of being no longer believable. This issue is one of the main problems that make story design a hard task. Writers face it on a case by case basis. The automatic generation of interesting stories requires formal criteria to decide to what extent a given situation is unexpected and to what extent actions are kept believable. This paper proposes such formal criteria and makes suggestions concerning their use in story generation systems.

             
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45. Dessalles, J.-L. (2014). Comment nous optimisons nos signaux sociaux. La Recherche, 494, 56-59.
    Keywords: SIGNALS       

    
    De nombreux comportements humains n’ont pas pour effet de procurer un bénéfice immédiat. Alors quel est leur rôle ? Attirer les amitiés, à l’image de ce que l’on peut observer dans les réseaux sociaux numériques.

             
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    → Papier sur le site de "La Recherche"          
46. Munch, D. & Dessalles, J.-L. (2014). Assessing Parsimony in Models of Aspect. In P. Bello, M. Guarini, M. McShane & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society, 2121-2126. Austin, TX: Cognitive Science Society.
    Keywords: MEANING       

    
    Though human beings are experts in the determination of aspectual relations, current models of Aspect lack principled parsimony. We show that even on a limited segment of language, determining aspectual interpretations seems to require much ad hoc information. Our suggestion is to give parsimony first priority. The model we present in this paper is limited in scope, but its complexity is bounded in principle.

             
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47. Saillenfest, A. & Dessalles, J.-L. (2014). A cognitive approach to narrative planning with believable characters. In M. A. Finlayson, J. C. Meister & E. G. Bruneau (Eds.), 2014 Workshop on Computational Models of Narrative - OASIcs vol. 41, 177-181. Dagstuhl, Germany: .
    Keywords: NARRATIVE       
             
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48. Dessalles, J.-L. (2014). Human language: an evolutionary anomaly. In T. Heams, P. Huneman, G. Lecointre & M. Silberstein (Eds.), Handbook of Evolution Theory in the Sciences, 707-724. London, UK: Springer.
    Keywords: EVOL.&LANG.       

    
    Human beings devote a considerable share of their time, maybe one third of the day (Mehl & Pennebaker 2003:866), to sharing information with conspecifics about often futile but sometimes consequential topics. This behavior is unique in nature. How can we account for the existence of honest communication in a Darwinian world where individuals are inevitably in competition with each other? The task proves much harder than what was thought in the past decades. The problem should bother all scientists, and more broadly any person wondering about human nature.

             
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49. Dessalles, J.-L. (2014). Optimal investment in social signals. Evolution, 68 (6), 1640-1650.
    Keywords: SIGNALS       

    
    This study is an attempt to determine how much individuals should invest in social communication, depending on the type of relationships they may form. Two simple models of social relationships are considered. In both models, individuals emit costly signals to advertise their "quality" as potential friends. Relationships are asymmetrical or symmetrical. In the asymmetrical condition (first model), we observe that low-quality individuals are discouraged from signaling. In the symmetrical condition (second model), all individuals invest in communication. In both models, high-quality individuals ("elite") do not compete and signal uniformly. The level of this uniform signal and the size of the “elite” turn out to be controlled by the accuracy of signals. The two models may be relevant to several aspects of animal and human social communication.

             
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50. Dessalles, J.-L. (2014). Why talk? In D. Dor, C. Knight & J. Lewis (Eds.), The social origins of language, 284-296. Oxford, UK: Oxford University Press.
    Keywords: EVOL.&LANG.       

    
    What is language good for? For a long time, the question has remained not only unanswered, but not even asked. The classic ‘reason’ invoked to avoid the issue was that language benefited the species as a whole. This way of reasoning is simply wrong (Williams 1966). If information has any value, it is in the interest of no one to give it for free. And if information has no value, why are there ears ready to listen to it? The reason why we talk, and so much, still requires a biological and social explanation.

             
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51. Dessalles, J.-L. (2014). The role of the human political singularity in the emergence of language. In E. A. Cartmill, S. Roberts, H. Lyn & H. Cornish (Eds.), The evolution of language - Proceedings of the 10th International Conference (Evolang-X - Vienna), 423-424. World Scientific.
    Keywords: EVOL.&LANG.       
             
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52. Dessalles, J.-L. (2013). Algorithmic simplicity and relevance. In D. L. Dowe (Ed.), Algorithmic probability and friends - LNAI 7070, 119-130. Berlin, D: Springer Verlag.
    Keywords: SIMPLICITY  NARRATIVE       

    
    The human mind is known to be sensitive to complexity. For instance, the visual system reconstructs hidden parts of objects following a principle of maximum simplicity. We suggest here that higher cognitive processes, such as the selection of relevant situations, are sensitive to variations of complexity. Situations are relevant to human beings when they appear simpler to describe than to generate. This definition offers a predictive (i.e. refutable) model for the selection of situations worth reporting (interestingness) and for what individuals consider an appropriate move in conversation.

             
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53. Dessalles, J.-L. (2013). Du protolangage au langage : modèle d’une transition. In B. Fracchiolla (Ed.), Les origines du langage et des langues Paris: L’Harmattan.
    Keywords: EVOL.&LANG.  MEANING       

    
    L’existence des capacités syntaxiques qui permettent aux êtres humains de manier des langues complexes reste mystérieuse. Pour certains auteurs, ces capacités seraient apparues totalement par hasard au cours de l’évolution et leur application à la communication serait fortuite. Nous essayons ici de montrer comment la modélisation de l’interface syntaxe-sémantique permet d’envisager un tout autre scénario. L’aptitude à manier des structures syntaxiques serait apparue en deux temps et serait liée à une nouvelle capacité sémantique, la formation des prédicats. La récursivité serait apparue lors de la deuxième étape, comme un moyen de lier les prédicats entre eux pour permettre la détermination de leurs arguments.

             
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54. Saillenfest, A. & Dessalles, J.-L. (2013). Using unexpected simplicity to control moral judgments and interest in narratives. In M. A. Finlayson, B. Fisseni, B. Löwe & J. C. Meister (Eds.), 2013 Workshop on Computational Models of Narrative - OASIcs vol. 32, 214-227. Saarbrücken, Germany: .
    Keywords: NARRATIVE  SIMPLICITY       

    
    The challenge of narrative automatic generation is to produce not only coherent, but interesting stories. This study considers the problem within the Simplicity Theory framework. According to this theory, interesting situations must be unexpectedly simple, either because they should have required complex circumstances to be produced, or because they are abnormally simple, as in coincidences. Here we consider the special case of narratives in which characters perform actions with emotional consequences. We show, using the simplicity framework, how notions such as intentions, believability, responsibility and moral judgments are linked to narrative interest.

             
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55. Saillenfest, A. & Dessalles, J.-L. (2012). Role of kolmogorov complexity on interest in moral dilemma stories. In N. Miyake, D. Peebles & R. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society, 947-952. Austin, TX: Cognitive Science Society.
    Keywords: NARRATIVE  SIMPLICITY       

    
    Several studies have highlighted the combined role of emotions and reasoning in the determination of judgments about morality. Here we explore the influence of Kolmogorov complexity in the determination, not only of moral judgment, but also of the associated narrative interest. We designed an experiment to test the predictions of our complexity-based model when applied to moral dilemmas. It confirms that judgments about interest and morality may be explained in part by discrepancies in complexity. This preliminary study suggests that cognitive computations are involved in decision-making about emotional outcomes.

             
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56. Munch, D. & Dessalles, J.-L. (2012). Inferring aspectuality on French sentences: a minimalist approach. In N. Miyake, D. Peebles & R. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society, 2055-2060. Austin, TX: Cognitive Science Society.
    Keywords: MEANING       

    
    Current models of temporality in language are either inaccurate or too complex to be cognitively plausible. We present a cognitive model of the computation of aspect in French. Our approach emphasizes the importance of minimalism for cognitive plausibility: structures and computation are kept simple and combinatorial explosion is avoided. Though the model and its current implementation remain partial for now, our approach opens the way to a generic and cognitively plausible method for the determination of aspect.

             
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57. Dessalles, J.-L. (2011). Reasoning as a lie detection device (Commentary on Mercier and Sperber:’Why do humans reason? Arguments for an argumentative theory'). Behavioral and Brain Sciences, 34 (2), 76-77.
    Keywords: ARGUMENTATION  EVOL.&LANG.       

    
    The biological function of human reasoning abilities cannot be to improve shared knowledge. This is at best a side effect. A more plausible function of argumentation, and thus of reasoning, is to advertise one’s ability to detect lies and errors. Such selfish behavior iscloser to what we should expect from a naturally selected competence.

             
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58. Munch, D. & Dessalles, J.-L. (2011). Vers un modèle minimaliste du traitement des relations temporelles. Modèles formels de l’interaction (MFI-11) - Actes des sixièmes journées francophones Rouen: .
    Keywords: MEANING       

    
    Nous proposons l’esquisse d’un modèle de calcul des relations temporelles dans le langage. Ce modèle cherche à satisfaire une contrainte de minimalisme cognitif, de manière à assurer une économie dans le calcul, dans la mémoire et dans les structures lors de l’analyse des informations temporelles contenues dans les énoncés. L’objectif est, à terme, de parvenir à une méthode générique et cognitivement plausible pour la détermination du temps, de l’aspect et de leurs implications logiques. L’originalité de ce modèle est d’isoler les opérations topologiques des autres traitements sémantiques.

                            
59. Dessalles, J.-L. (2011). Parler pour exister. Sciences humaines, 224, 45-47.
    Keywords: NARRATIVE  EVOL.&LANG.       

    
    Le langage ne vise pas seulement à transmettre des informations utiles. Il sert aussi à se mettre en valeur en racontant de bonnes histoires qui doivent répondre à des caractéristiques très précises.

             
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60. Dessalles, J.-L. (2011). Ex-Post Algorithmic Probability. Technical Report Telecom-ParisTech 2011-D-009.
    Keywords: SIMPLICITY       

    
    Algorithmic probability is traditionally defined by considering the output of a universal machine fed with random programs. This definition proves inappropriate for many practical applications where probabilistic assessments are spontaneously and instantaneously performed. In particular, it does not tell what aspects of a situation are relevant when considering its probability ex-post (after its occurrence). As it stands, the standard definition also fails to capture the fact that simple, rather than complex outcomes are often considered improbable, as when a supposedly random device produces a repeated pattern. More generally, the standard algorithmic definition of probability conflicts with the idea that entropy maximum corresponds to states that are both complex (unordered) and probable. We suggest here that algorithmic probability should rather be defined as a difference in complexity. We distinguish description complexity from generation complexity. Improbable situations are situations that are more complex to generate than to describe. We show that this definition is more congruent with the intuitive notion of probability.

             
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61. Dessalles, J.-L. (2011). Pragmatics and evolution. In P. C. Hogan (Ed.), The Cambridge encyclopedia of the language sciences, 649-651. Cambridge University Press.
    Keywords: EVOL.&LANG.       

    
    For at least 100 000 years, human beings have been talking the way we do. Language is universally used by most individuals in every culture several hours each day, primarily during conversational chatter (Dunbar 1998). How did our species come to adopt such a strange behavior in the course of its evolution? The question has been considered in turn as obvious and baffling. A proper approach to the reasons why we talk requires that the biological function of language be understood, and pragmatics is the right place to seek out that function.

             
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62. Dessalles, J.-L. (2011). Review of: "The evolution of human language: Biolinguistic perspectives" (R. Larson et al., CUP, 2010). Language, 87 (2), 411-414.
    Keywords: EVOL.&LANG.       

    
    Where does human language come from? The ‘greatest problem in science’, according to Bickerton (2009), remains a mystery. This new volume offers a partial but important map of current ideas on the problem. The book is stimulating because of the issues it raises and surprising in the issues it ignores.

             
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63. Dessalles, J.-L. (2011). The real mystery about language - Comment on "Modeling The Cultural Evolution of Language" by Luc Steels. Physics of life reviews, 8 (4), 369-370.
    Keywords: EVOL.&LANG.       

    
    Human communication involves a huge cost. Conversation takes up about one third of our awake time; children must learn ten new words a day during ten years; getting first-hand information is time-consuming and may involve risks; and we need to support disproportionate brains to store episodes worth telling during verbal interactions. Why are we (apparently) the only species that shows this behavior, in apparent contradiction with Darwinian principles? This is the real mystery about language.

             
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64. Dessalles, J.-L. (2011). Sharing cognitive dissonance as a way to reach social harmony. Social Science Information, 50 (1), 116-127.
    Keywords: NARRATIVE  ARGUMENTATION       

    
    Commonsense wisdom dictates that mutual understanding grows with cognitive harmony. Communication seems impossible between people who do not share values, beliefs and concerns. If brought to the extreme, this statement however neglects the fact that the formation of social bonds crucially depends on the expression of cognitive dissonance.

             
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65. Dessalles, J.-L. (2011). Simplicity Effects in the Experience of Near-Miss. In L. Carlson, C. Hoelscher & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 408-413. Austin, TX: Cognitive Science Society.
    Keywords: SIMPLICITY  EMOTION       

    
    Near-miss experiences are one of the main sources of intense emotions. Despite people’s consistency when judging near-miss situations and when communicating about them, there is no integrated theoretical account of the phenomenon. In particular, individuals’ reaction to near-miss situations is not correctly predicted by rationality-based or probability-based optimization. The present study suggests that emotional intensity in the case of near-miss is in part predicted by Simplicity Theory.

             
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66. Dessalles, J.-L. (2010). Comment le langage est venu à l’homme. La Recherche, 445, 64-65.
    Keywords: EVOL.&LANG.       

    
    Dans son dernier livre, le linguiste Derek Bickerton s’attaque à ce qu’il qualifie de "plus grande énigme de la science": l’origine du langage. Une faculté humaine radicalement différente de la communication animale, comme l’explique l’extrait présenté ici en avant-première.

             
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67. Dessalles, J.-L., Machery, E., McKenzie Alexander, J. & Cowie, F. (2010). Symposium on J.-L. Dessalles’s Why we Talk. Biology and philosophy, 25 (5), 851-901.
    Keywords: EVOL.&LANG.       

    
    This symposium discusses J.-L. Dessalles’s account of the evolution of language, which was presented in Why we Talk (Oxford Univ. Press 2007).

             
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68. Dessalles, J.-L. (2010). From metonymy to syntax in the communication of events. In M. A. Arbib & D. Bickerton (Eds.), The emergence of protolanguage - Holophrasis vs compositionality, 51-65. Amsterdam: John Benjamins Publishing Comp.
    Keywords: EVOL.&LANG.       

    
    Language, from its early hominin origin to now, was not primarily being used for practical purposes. We suggest that an essential function of protolanguage was to signal ‘noteworthy’ events, as humans still systematically do. Words could not be so specific as to refer to whole, non-recurring, situations. They referred to elements such as objects or locations, and the communicated event was inferred metonymically. Compositionality was achieved, without syntax, through multi-metonymy, as words referring to elements of the same situation were concatenated into proto-utterances.

             
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69. Dessalles, J.-L. (2010). Have you anything unexpected to say? The human propensity to communicate surprise and its role in the emergence of language. In A. D. M. Smith, M. Schouwstra, B. de Boer & K. Smith (Eds.), The evolution of language - Proceedings of the 8th International Conference (Evolang8 - Utrecht), 99-106. Singapore: World Scientific.
    Keywords: EVOL.&LANG.  SIMPLICITY       

    
    Individuals devote one third of their language time to mentioning unexpected events. We try to make sense of this universal behaviour within the Costly Signalling framework. By systematically using language to point to the unexpected, individuals send a signal that advertises their ability to anticipate danger. This shift in display behaviour, as compared with typical displays in primate species, may result from the use by hominins of artefacts to kill.

             
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70. Dessalles, J.-L. (2010). Préface. In D. Bickerton (Ed.), La langue d’Adam, v-ix. Paris: Dunod.
    Keywords: EVOL.&LANG.       

    
    Certains chercheurs, probablement la vaste majorité, restent d’une grande prudence lorsqu’ils expriment leurs idées. Derek Bickerton n’est certainement pas de ceux-là. La prudence scientifique est un moyen de ne pas trop heurter la pensée, souvent contradictoire, des collègues. C’est aussi un moyen de ne pas prendre de risques, de ne pas se voir reprocher plus tard que l’on s’est trompé. Les demi-teintes, les nuances et les compromis conceptuels ne font pas partie du monde de Derek Bickerton. Dans ses écrits comme lors de ses interventions publiques, il montre une fougue et une prise de risque que nombre de jeunes chercheurs pourraient lui envier. Bickerton nous dit : « Voilà comment le langage humain a émergé ! ». Il nous dit même : « Pour la première fois, quelqu’un va vous dire comment le langage a émergé ». Il ne s’agit pas d’immodestie. Il s’agit de passion. Cette passion, il nous la communique, pour notre plus grand plaisir.

             
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71. Dessalles, J.-L. (2010). In praise of resemblance: Human communicational universals as basis for mutual acceptance. Generalized Science of Humanity Series, 5, 65-73.
    Keywords: ARGUMENTATION       

    
    In the human species, individuals establish social bonds mainly based on communication. Among the qualities that are used by individuals to include other individuals in their social network, the ability to demonstrate one’s relevance in the eye of others proves crucial. In this respect, relevance can be more important than sharing a common culture or a common language. Fortunately, the principles that govern relevance in communication seem to be universal and deeply rooted in our biology, enabling any two individuals in our species to become friends, regardless of their differences.

             
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72. Dessalles, J.-L. (2010). Et si la coopération était un mythe ? Un pilier des sciences sociales ébranlé par la simulation. Nouvelles perspectives en sciences sociales, 5 (2), 79-89.
    Keywords: SIGNALS       

    
    La coopération est l’un des piliers, voire un axiome, des sciences sociales. Elle seule permet à des individus non apparentés de vivre ensemble. Même la guerre, sorte d’autodestruction des sociétés, repose sur une coopération efficace. Et, pour prendre un exemple que je connais bien, le langage est présenté aux étudiants comme un cas emblématique de coopération, consistant en un échange d’informations. C’est pourtant à propos du langage que j’ai eu mes premiers doutes. J’ai alors tenté de m’attaquer au pilier, armé du canif des modélisateurs, la simulation.

             
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73. Dessalles, J.-L. (2010). Emotion in good luck and bad luck: predictions from Simplicity Theory. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, 1928-1933. Austin, TX: Cognitive Science Society.
    Keywords: SIMPLICITY  EMOTION       

    
    The feeling of good or bad luck occurs whenever there is an emotion contrast between an event and an easily accessible counterfactual alternative. This study suggests that cognitive simplicity plays a key role in the human ability to experience good and bad luck after the occurrence of an event.

             
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74. Dessalles, J.-L. (2010). Providing information can be a stable non-cooperative evolutionary strategy. Paris: Technical Report Telecom ParisTech 2010D025.
    Keywords: EVOL.&INFORM.       

    
    Human language is still an embarrassment for evolutionary theory, as the speaker’s benefit remains unclear. The willingness to communicate information is shown here to be an evolutionary stable strategy (ESS), even if acquiring original information from the environment involves significant cost and communicating it provides no material benefit to addressees. In this study, communication is used to advertise the emitter’s ability to obtain novel information. We found that communication strategies can take two forms, competitive and uniform, that these two strategies are stable and that they necessarily coexist.

             
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75. Dessalles, J.-L. (2010). L’émergence du langage au cours de l’évolution. In M. Banniard & D. Philps (Eds.), La fabrique du signe - Linguistique de l’émergence, 22-33. Toulouse: Presses Universitaires du Mirail.
    Keywords: EVOL.&LANG.       

    
    Nous défendons ici l’idée que le langage humain est né d’une compétition inédite dans le monde animal, la compétition informationnelle. De nombreux aspects de notre mode de communication, notamment sa modalité essentiellement orale, ses lexiques pléthoriques, son caractère déplacé (hors du ‘ici et maintenant'), son mode dialogique, toutes choses parfaitement mystérieuses autrement, trouvent une explication dans le fait que les locuteurs sont engagés dans une compétition communicationnelle de laquelle les gagnants retirent un bénéfice social. Cette explication de l’émergence du langage ne se limite pas à imaginer un intérêt pour l’auditeur, mais également pour le locuteur. Elle est donc recevable dans un cadre darwinien.

             
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76. Dessalles, J.-L. (2009). Une anomalie de l’évolution : le langage. In T. Heams, P. Huneman, G. Lecointre & M. Silberstein (Eds.), Les mondes darwiniens - L’évolution de l’évolution, 863-882. Paris: Editions Syllepse.
    Keywords: EVOL.&LANG.       

    
    Les être humains, dans leur milieu naturel, utilisent le langage pour bavarder. C’est lors de ce comportement étrange et faussement futile qu’ils constituent leur réseau social. Je montre comment cette fonction permet d’expliquer l’existence du langage dans un cadre darwinien. Je montre également pourquoi d’autres modèles, proposés dans le passé, échouent face aux contraintes darwiniennes

             
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77. Dessalles, J.-L. (2009). Destin ou coïncidences ? Cerveau & Psycho, 35, 18-21.
    Keywords: SIMPLICITY       

    
    Deux présidents emblématiques des États-Unis ont été assassinés à 1OO ans d’intervalle et leur histoire présente plusieurs points communs. Pourquoi notre cerveau est-il irrésistiblement attiré par de telles coïncidences, y cherchant des marques du destin ?

             
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78. Dessalles, J.-L. (2009). Où est mon information ? Telecom, 154, 57-60.
    Keywords: NARRATIVE       

    
    Le prix de certaines informations est devenu négatif : nous sommes prêts à payer pour ne pas recevoir la plupart des messages qui assaillent nos boîtes électroniques. À l’inverse, le coût de l’information pertinente, ou le temps nécessaire pour la trouver, risque d’augmenter indéfiniment. Pourrons-nous échapper à cette malédiction ?

             
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79. Dimulescu, A. & Dessalles, J.-L. (2009). Understanding narrative interest: Some evidence on the role of unexpectedness. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society, 1734-1739. Amsterdam, NL: Cognitive Science Society.
    Keywords: NARRATIVE  SIMPLICITY       

    
    This study is an attempt to measure the variations of interest aroused by conversational narratives when definite dimensions of the reported events are manipulated. The results are compared with the predictions of the Complexity Drop Theory, which states that events are more interesting when they appear simpler, in the Kolmogorov sense, than anticipated.

             
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80. Dessalles, J.-L. (2009). Why we talk - The evolutionary origins of language (2nd edition). Oxford: Oxford University Press.
    Keywords: EVOL.&LANG.       

    
    Why do human beings tirelessly strive to provide information to conspecifics? Human language seems to benefit listeners more than speakers. It seems to be an exception in a Darwinian world in which organisms are primarily concerned with their own survival.

                  
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81. Dimulescu, A. & Dessalles, J.-L. (2009). Prédire l’intérêt dans la communication événementielle. In N. Maudet, P.-Y. Schobbens & M. Guyomard (Eds.), Modèles formels de l’interaction (MFI-09) - Actes des cinquièmes journées francophones, 125-134. Lannion: .
    Keywords: NARRATIVE  SIMPLICITY       

    
    Cette étude vise à mesurer les variations de l’intérêt suscitées par un événement lorsque certaines dimensions définies sont manipulées. Les résultats sont comparés aux prédictions de la théorie du décalage de complexité, selon laquelle les événements sont d’autant plus intéressants qu’ils sont plus simples qu’attendu.

             
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82. Dessalles, J.-L. (2008). Coincidences and the encounter problem: A formal account. In B. C. Love, K. McRae & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society, 2134-2139. Austin, TX: Cognitive Science Society.
    Keywords: SIMPLICITY       

    
    Individuals have an intuitive perception of what makes a good coincidence. Though the sensitivity to coincidences has often been presented as resulting from an erroneous assessment of probability, it appears to be a genuine competence, based on non-trivial computations. The model presented here suggests that coincidences occur when subjects perceive complexity drops. Co-occurring events are, together, simpler than if considered separately. This model leads to a possible redefinition of subjective probability.

             
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83. Dessalles, J.-L. (2008). La pertinence et ses origines cognitives - Nouvelles théories. Paris: Hermes Science.
    Keywords: SIMPLICITY       

    
    Les conversations quotidiennes constituent une arène permanente où se joue l’essentiel de notre existence sociale. Dans ce jeu proprement humain, la pertinence est le principal critère. Nous possédons tous une intuition précise de ce qui rend une histoire ou un argument pertinent et nous sommes hypersensibles aux défauts de pertinence.

             
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84. Dessalles, J.-L. (2008). Why is language well designed for communication? (Commentary on Christiansen and Chater: "Language as shaped by the brain"). Behavioral and Brain Sciences, 31 (5), 518-519.
    Keywords: EVOL.&LANG.       

    
    Selection through iterated learning explains no more than other non-functional accounts, such as universal grammar, why language is so well-designed for communicative efficiency. It does not predict several distinctive features of language like central embedding, large lexicons or the lack of iconicity, that seem to serve communication purposes at the expense of learnability.

             
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85. Dessalles, J.-L. (2008). From metonymy to syntax in the communication of events. Interaction Studies, 9 (1), 51-65.
    Keywords: EVOL.&LANG.       

    
    Language, from its early hominin origin to now, was not primarily being used for practical purposes. We suggest that an essential function of protolanguage was to signal ‘noteworthy’ events, as humans still systematically do. Words could not be so specific as to refer to whole, non-recurring, situations. They referred to elements such as objects or locations, and the communicated event was inferred metonymically. Compositionality was achieved, without syntax, through multi-metonymy, as words referring to elements of the same situation were concatenated into proto-utterances.

             
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86. Dessalles, J.-L., Ferber, J. & Phan, D. (2008). Emergence in agent based computational social science: conceptual, formal and diagrammatic analysis. In Y. Shyan & A. Yang (Eds.), Intelligent complex adaptive systems, 255-299. IGI Global.
    Keywords: EMERGENCE       

    
    This chapter provides a critical survey of emergence definitions both from a conceptual and formal standpoint. The notions of downward / backward causation and weak / strong emergence are specially discussed, for application to complex social system with cognitive agents. Particular attention is devoted to the formal definitions introduced by (Müller 2004) and (Bonabeau & Dessalles, 1997), which are operative in multi-agent frameworks and make sense from both cognitive and social point of view. A diagrammatic 4-Quadrant approach, allow us to understanding of complex phenomena along both interior/exterior and individual/collective dimension.

             
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87. Dessalles, J.-L. (2008). Spontaneous narrative behaviour in homo sapiens: how does it benefit to speakers? In A. D. M. Smith, K. Smith & R. Ferrer i Cancho (Eds.), The evolution of language - Proceedings of the 7th International Conference (Evolang7 - Barcelona), 91-98. Singapore: World Scientific.
    Keywords: EVOL.&LANG.  NARRATIVE       

    
    The fact that human beings universally put much energy and conviction in reporting events in daily conversations demands an explanation. After having observed that the selection of reportable events is based on unexpectedness and emotion, we make a few suggestions to show how the existence of narrative behaviour can be consistent with the socio-political theory of the origin of language.

             
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88. Dessalles, J.-L. (2008). L’altruisme, enfant de la guerre ? Cerveau & Psycho, 26, 24-28.
    Keywords: SIGNALS       

    
    Homo homini lupus, l’être humain est un loup pour ses semblables. En même temps, homo sapiens est la seule espèce dont les membres rendent systématiquement des services à leurs congénères non apparentés. Les populations humaines sont-elles un mélange nécessaire où cohabitent les individus agressifs et les altruistes ? Si l’on en croit une étude récente (Choi & Bowles 2007), les agressifs et les altruistes pourraient être les mêmes personnes !

             
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89. Dessalles, J.-L. (2008). A computational model of argumentation in everyday conversation: a problem-centred approach. In P. Besnard, S. Doutre & A. Hunter (Eds.), Computational Models of Argument - Proceedings of COMMA 2008, 128-133. Amsterdam: IOS Press.
    Keywords: ARGUMENTATION       

    
    Human beings share a common competence for generating relevant arguments. We hypothesize the existence of a cognitive procedure that enables them to determine the content of their arguments. We consider that this procedure must be simple to have cognitive plausibility. This paper is an attempt to determine central aspects of this cognitive procedure. The originality of the present approach is to analyse spontaneous argument generation as a process in which arguments either signal problems or aim at solving previously acknowledged problems.

             
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90. Dessalles, J.-L. (2007). Humans and apes make friends differently: Implications for the evolutionary emergence of language. In P. M. Kappeler & M. Schwibbe (Eds.), Primate Behavior and human universals - Abstracts of the 6th Göttinger Freilandtage, 24-25. Göttingen: Primate Report.
    Keywords: EVOL.&LANG.       
                            
91. Dessalles, J.-L. (2007). Complexité cognitive appliquée à la modélisation de l’intérêt narratif. Intellectica, 45 (1), 145-165.
    Keywords: SIMPLICITY  NARRATIVE       

    
    Nous définissons la complexité cognitive comme une notion dérivée de la complexité de Kolmogorov. Nous montrons qu’une partie importante de ce qui retient l’intérêt des êtres humains, notamment lors de la sélection des événements spontanément signalés ou rapportés, peut être prédite par un saut de complexité cognitive. Nous évaluons les conséquences de ce modèle pour l’étude de la pertinence conversationnelle.

             
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92. Dessalles, J.-L. (2007). Spontaneous assessment of complexity in the selection of events. Technical Report ParisTech-ENST 2007D011.
    Keywords: SIMPLICITY       

    
    Most of the situations of daily life that arouse human interest are experienced as unexpected. Highly unexpected events are preferentially memorised and are systematically signalled or reported in conversation. Probability theory is shown to be inadequate to predict which situations will be perceived as unexpected. We found that unexpectedness is best explained using Kolmogorov complexity, which is a strong indication that human individuals have an intuitive access to what was thought to be only an abstract mathematical notion. Many important and previously disparate facts about human communicative behaviour are shown to result from the cognitive ability to detect complexity shifts.

             
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93. Dessalles, J.-L. (2007). Why we talk - The evolutionary origins of language (English edition of ‘Aux origines du langage'). Oxford: Oxford University Press.
    Keywords: EVOL.&LANG.       

    
    Why do human beings tirelessly strive to provide information to conspecifics? Human language seems to benefit listeners more than speakers. It seems to be an exception in a Darwinian world in which organisms are primarily concerned with their own survival.

             
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94. Dessalles, J.-L., Müller, J.-P. & Phan, D. (2007). Emergence in multi-agent systems: conceptual and methodological issues. In F. Amblard & D. Phan (Eds.), Agent-based modelling and simulation in the social and human sciences, 327-355. Oxford: The Bardwell-Press.
    Keywords: EMERGENCE       
        
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95. Dessalles, J.-L. (2007). Le rôle de l’impact émotionnel dans la communication des événements. In J. Lang, Y. Lespérance, D. Sadek & N. Maudet (Eds.), Actes des journées francophones ‘Modèles formels de l’interaction’ (MFI-07), 113-125. Paris: Annales du LAMSADE, Université Paris Dauphine.
    Keywords: EMOTION       
             
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96. Dessalles, J.-L. (2007). Storing events to retell them (Commentary on Suddendorf and Corballis: "The evolution of foresight"). Behavioral and Brain Sciences, 30 (3), 321-322.
    Keywords: NARRATIVE       

    
    Episodic memory is certainly a unique endowment, but its primary purpose is something other than to provide raw material for creative synthesis of future scenarios. Remembered episodes are exactly those which are worth telling. The function of episodic memory, in our view, is to accumulate stories that are relevant to recount in conversation.

             
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97. Dessalles, J.-L. (2006). Trivialization behaviour in conversation. Proceedings of the 2nd Conference on Language, Culture and Mind, 44-46. Paris: Ecole Nationale Supérieure des Télécommunications.
    Keywords: NARRATIVE       

    
    Spontaneous conversations involve a considerable amount of event reporting. Eggins and Slade (1997:265) observed that storytelling alone filled up to 43% of the three hour corpus of casual conversation they collected. In our corpus of family conversations, they may constitute from one third to two thirds of spoken time. One remarkable phenomenon about conversational stories is that they most often concern unexpected states of affairs, or states of affairs that are presented as such. Another, no less remarkable, phenomenon is that individuals quite often tend to diminish the originality of others’ stories. We wall such reactions trivialization.

             
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98. Dessalles, J.-L. (2006). From protolanguage to language: model of a transition. Marges linguistiques, 11, 142-152.
    Keywords: EVOL.&LANG.       

    
    The existence of syntactic abilities allowing human beings to process complex languages remains mysterious. According to some authors, these abilities appeared by mere chance at some point in evolution, and their use in communication is, in some way, fortuitous. We try here to show how a simple model of the syntax-semantic interface allows us to consider a quite different scenario. The ability to process syntactic structures would have appeared in a two-step evolutionary process and would be the consequence of a new semantic ability, the ability to form predicates. Recursion is claimed to have appeared in the second step, as a way to link predicates for their arguments to be determined.

             
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99. Dessalles, J.-L. (2006). A structural model of intuitive probability. In D. Fum, F. Del Missier & A. Stocco (Eds.), Proceedings of the seventh International Conference on Cognitive Modeling, 86-91. Trieste, IT: Edizioni Goliardiche.
    Keywords: SIMPLICITY       

    
    Though the ability of human beings to deal with probabilities has been put into question, the assessment of rarity is a crucial competence underlying much of human decision-making and is pervasive in spontaneous narrative behaviour. This paper proposes a new model of rarity and randomness assessment, designed to be cognitively plausible. Intuitive randomness is defined as a function of structural complexity. It is thus possible to assign probability to events without being obliged to consider the set of alternatives. The model is tested on Lottery sequences and compared with subjects’ preferences.

             
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100. Dessalles, J.-L. (2006). Du protolangage au langage : modèle d’une transition. Marges linguistiques, 11, 142-152.
     Keywords: EVOL.&LANG.       

     
     L’existence des capacités syntaxiques qui permettent aux êtres humains de manier des langues complexes reste mystérieuse. Pour certains auteurs, ces capacités seraient apparues totalement par hasard au cours de l’évolution et leur application à la communication serait fortuite. Nous essayons ici de montrer comment la modélisation de l’interface syntaxe-sémantique permet d’envisager un tout autre scénario. L’aptitude à manier des structures syntaxiques serait apparue en deux temps et serait liée à une nouvelle capacité sémantique, la formation des prédicats. La récursivité serait apparue lors de la deuxième étape, comme un moyen de lier les prédicats entre eux pour permettre la détermination de leurs arguments.

              
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101. Dessalles, J.-L. (2006). Intérêt conversationnel et complexité : le rôle de l’inattendu dans la communication spontanée. Psychologie de l’Interaction, , 259-281.
     Keywords: SIMPLICITY  NARRATIVE       

     
     La conversation humaine agit comme un filtre extraordinairement sélectif : seule une infime partie des situations que les locuteurs ont vécues ou ont pu connaître sera jugée digne d’être rapportée aux interlocuteurs. L’un des objectifs de la recherche sur le langage consiste à rechercher des critères permettant de prévoir si une situation sera perçue comme suffisamment « intéressante » si elle est mentionnée en conversation. Nous montrons ici que le caractère inattendu de certaines situations, qui conduit souvent à ce qu’elles soient rapportées en conversation, est lié à des écarts de complexité, et que ce phénomène peut s’expliquer dans le cadre plus général de la théorie « shannonienne » de la communication événementielle.

              
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102. Dessalles, J.-L. (2006). Ethologie du langage. In J.-L. Dessalles, P. Picq & B. Victorri (Eds.), Les origines du langage, 125-176. Paris: Editions Le Pommier.
     Keywords: EVOL.&LANG.       

     
     Les scientifiques de ce début de siècle sont maintenant convaincus, non seulement que la question de l’origine du langage mérite d’être posée, mais aussi que la réponse est loin d’être évidente. L’enjeu est d’importance, car comprendre la raison de l’existence du langage pourrait nous conduire à porter un regard entièrement nouveau sur notre propre espèce.

         
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103. Dessalles, J.-L. (2006). Generalised signalling: a possible solution to the paradox of language. In A. Cangelosi, A. D. M. Smith & K. Smith (Eds.), The evolution of language - Proceedings of the 6th International Conference (Evolang6), 75-82. Singapore: World Scientific.
     Keywords: EVOL.&LANG.  SIGNALS       

     
     The systematic and universal communicative behaviour that drives human beings to give honest information to conspecifics during long-lasting conversational episodes still represents a Darwinian paradox. Attempts to solve it by comparing conversation with a mere reciprocal cooperative information exchange is at odds with the reality of spontaneous language use. The Costly Signalling Theory has recently attracted attention as a tentative explanation of the evolutionary stability of language. Unfortunately, it makes the wrong prediction that only elite individuals would talk. I show that as far as social bonding is assortative in our species, generalised signalling through language becomes a viable strategy to attract allies.

              
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104. Dessalles, J.-L. (2006). Human language in the light of evolution. JEP 2006: Actes des XXVIes journées d’étude sur la parole, 17-23. Dinard, France: AFCP - IRISA - ISCA.
     Keywords: EVOL.&LANG.       

     
     This paper explores a few consequences of the hypothesis that language evolved for the benefit of speakers. The hypothesis, supported by recent Darwinian scenarios of language emergence, explains why speech production organs were dramatically transformed through evolution, while auditory systems remained practically unchanged. It also explains the need for huge vocabularies and for large episodic memory, and it dismisses the possibility of gesture-first scenarios of language origins.

              
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105. Dessalles, J.-L., Picq, P. & Victorri, B. (2006). Les origines du langage. Paris: Editions Le Pommier.
     Keywords: EVOL.&LANG.       

     
     Comment le langage est-il apparu ? Certes pas parce qu’il fallait que l’on parle... L’éthologie, la paléoanthropologie, la linguistique, servent ici de guides précieux dans une véritable enquête qui nous mène sur les traces des premiers humains. Existe-t-il des méthodes qui nous permettraient de reconstituer une éventuelle ‘langue mère’ ? Comment un ‘protolangage’ se serait-il complexifié pour d’atteindre l’immense sophistication de nos langues actuelles ? Le langage, universel dans notre espèce et exception dans le règne animal, constituerait-il une anomalie de l’évolution ? Les rôles joués par le langage et l’avantage évolutif qu’ils induisent seraient une des clés permettant de répondre à ces questions.

              
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106. Dessalles, J.-L. (2006). Le langage humain à la lumière de l’évolution. JEP 2006: Actes des XXVIes journées d’étude sur la parole, 17-23. Dinard, France: AFCP - IRISA - ISCA.
     Keywords: EVOL.&LANG.       

     
     This paper explores a few consequences of the hypothesis that language evolved for the benefit of speakers. The hypothesis, supported by recent Darwinian scenarios of language emergence, explains why speech production organs were dramatically transformed through evolution, while auditory systems remained practically unchanged. It also explains the need for huge vocabularies and for large episodic memory, and it dismisses the possibility of gesture-first scenarios of language origins.

              
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107. Dessalles, J.-L. (2005). Aux sources du langage. Sciences humaines, (1), 44-49.
     Keywords: EVOL.&LANG.       

     
     Pourquoi le langage est-il apparu? La réponse courante - pour se transmettre des informations au sein d’un groupe - n’est pas évidente au regard des contraintes de l’évolution. Les origines du langage seraient plutôt à chercher dans d’autres raisons: maintenir des liens d’amitié par exemple.

              
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108. Dessalles, J.-L. & Phan, D. (2005). Emergence in multi-agent systems: Cognitive hierarchy, detection, and complexity reduction. In P. Mathieu, B. Beaufils & O. Brandouy (Eds.), Artificial Economics, 147-159. Springer LNEMS 564.
     Keywords: EMERGENCE       

     
     The present paper provides a formal definition of emergence, operative in multi-agent framework designed by Agent Oriented Programming, and which makes sense from both a cognitive and an economics point of view.

              
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109. Dessalles, J.-L. (2005). Communication among selfish agents: From cooperation to display. Proceedings of the 3rd Lake Arrowhead Conference on Human Complex Systems Los Angeles: University of California Los Angeles.
     Keywords: SIGNALS       

     
     Communication of honest information is known to be fundamentally unstable in populations of selfish agents. As agents have more interest in benefiting from others’ information than in giving away their own knowledge, general muteness is the only attractor. We develop an alternative model along the lines of the general Theory of Honest Signaling. In our model, agents communicate to display their ability to get original information.

                             
110. Dessalles, J.-L. & Ghadakpour, L. (2005). Semantic abilities evolved as well - Electronic commentary on M. Arbib: "From monkey-like action recognition to human language". Behavioral and Brain Sciences, 28 (2).
     Keywords: MEANING       

     
     The evolutionary story proposed in the target paper makes no difference between semantic representations underlying language and more general cognitive representations, at work in perception and action, which humans share with apes and probably other mammals. Though semantic representations supporting language are grounded in perception, some of them, specifically predicative structures, should rather be considered a distinctive feature of human communication system. Any evolutionary scenario about language should explain how human minds evolved to form the kind of thoughts that are communicated through language.

              
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111. Dessalles, J.-L. (2005). Vers une modélisation de l’intérêt. In A. Herzig, Y. Lespérance & A.-I. Mouaddib (Eds.), Actes des troisièmes journées francophones ‘Modèles formels de l’interaction’ (MFI-05), 113-122. Toulouse: Cépaduès Editions.
     Keywords: NARRATIVE       

     
     Un aspect important des interactions humaines est lié au fait que les individus exigent les uns des autres que leurs messages apparaissent comme intéressants, les autres messages étant perçus comme inutiles, gênants, voire ineptes. Nous proposons ici un modèle de l’intérêt, for-mé à partir de l’observation des conversations spontanées. Nous vérifions que de fortes contraintes portent sur le contenu des messages admissibles. Nous identifions en particulier une classe de messages "inté-ressants" ignorée des modèles habituels : les messages portant sur un état de fait improbable, que nous analy-sons comme associés à une valeur informationnelle élevée. Les applications potentielles de ce modèle vont de la sélection automatique des informations à l’interaction humain-machine

              
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112. Dessalles, J.-L. (2005). Criteria for coalition formation. Proceedings of the European Conference on Complex Systems (ECCS-05), 189-190. Paris: .
     Keywords: EVOL.&LANG.       
                             
113. Dessalles, J.-L. (2004). Language as an isolated niche. Abstracts of the International Conference on the Evolution of Language, 10. Leipzig: Max Planck Institute for Evolutionary Anthropology.
     Keywords: EVOL.&LANG.       

     
     Language has long been thought to be the inevitable outcome of some general evolutionary trend towards more complexity and more intelligence. On such a pathway towards progress, our species would just happen to be more advanced than others. In the light of modern evolution theory, this picture turns out to be fundamentally wrong.

              
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114. Dessalles, J.-L. (2004). About the adaptiveness of syntactic recursion - Commentary on F. Newmeyer: "Cognitive and functional factors in the evolution of grammar". Coevolution of Language and Theory of Mind Interdisciplines: electronic conference.
     Keywords: EVOL.&LANG.       

     
     Recursion has a function: it gives a new role to predicates. The main predicate in a sentence expresses a thought for argumentative purposes. The main predicate is what is really meant, what is offered to the addressees’ critique (in the case of argumentation) or to their appraisal (in the case of event report). Thanks to recursion, other predicates can be introduced to determine arguments. They help addressees determine what x refers to in the scene.

              
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115. Ghadakpour, L. & Dessalles, J.-L. (2004). Contrast predication and evolution. Abstracts of the International Conference on Language, Culture and Mind, 26. Portsmouth: University of Portsmouth.
     Keywords: MEANING       
              
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116. Dessalles, J.-L. (2004). More syntax, less inference - Commentary on G. Origgi and D. Sperber: "A pragmatic perspective on the evolution of language and languages". Coevolution of Language and Theory of Mind Interdisciplines: electronic conference.
     Keywords: EVOL.&LANG.       
              
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117. Ghadakpour, L. & Dessalles, J.-L. (2004). Conceptual interface. Abstracts of the Conference ‘Architecture of the Language Faculty, 12. London: University College of London.
     Keywords: MEANING       
              
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118. Ghadakpour, L. & Dessalles, J.-L. (2004). Transient concepts and compositionality. Abstracts of the Interdisciplinary Conference ‘New Aspects of Compositionality, 2. Paris: ENS et Université Paris-Sorbonne.
     Keywords: MEANING       

     
     People put words together, often in an innovative way, to create genuine new meanings. According to the compositionality principle, the meaning of an expression is entirely deducible from the meanings of its components. The principle alone does not, however, tell how composed meanings are formed. Most attempts to solve the compositionality problem led authors to assign fixed conceptual structures to words.,We suggest another solution. In our model, conceptual representations are ephemeral. They are constructed “on the fly” and they do not survive the context that gave birth to them.

              
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119. Dessalles, J.-L. & Ghadakpour, L. (2004). La construction cognitive du temps. In D. Badariotti (Ed.), Le temps dans les systèmes complexes naturels et artificiels - Actes des journées de Rochebrune, 95-109. Paris: ENST 2004-S-001.
     Keywords: MEANING       

     
     Les êtres humains parviennent à communiquer et à argumenter en tenant compte, avec une aisance spectaculaire, des relations temporelles entre les situations. Pourtant, la plupart des modèles du temps échouent à donner une explication cognitivement plausible de cette performance. L’une des difficultés principales des modèles existants est qu’ils utilisent des ensembles infinis d’instants ou d’intervalles, ce qui est irréaliste du point de vue de la modélisation cognitive. Le modèle que nous esquissons ici propose une approche non-réaliste de la construction cognitive du temps. Il parvient à éviter l’écueil des ontologies temporelles infinies, au prix d’un changement radical dans la manière de considérer la conceptualisation du temps.

              
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120. Dessalles, J.-L. (2003). Les beaux parleurs : un paradoxe de l’évolution. Cerveau & Psycho, 4, 16-17.
     Keywords: EVOL.&LANG.       

     
     Quoi de plus naturel que d’écouter ceux qui ont des choses intéressantes à dire ? Et quoi de plus naturel, pour chacun d’entre nous, que de chercher à satisfaire l’auditoire potentiel qui se trouve en chaque être humain, à commencer par nos proches ? Si nos congénères voient un intérêt dans nos informations, pourquoi les donnons-nous ainsi gratuitement ? À première vue, un tel comportement est inexplicable au regard de la théorie de la sélection naturelle.

              
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121. Ghadakpour, L. & Dessalles, J.-L. (2003). Modèle procédural du repérage temporel. In B. Chaib-Draa & A. Herzig (Eds.), Actes des journées francophones ‘Modèles formels de l’interaction’ (MFI-03), 267-270. Toulouse: Cépaduès Editions.
     Keywords: MEANING       

     
     Les modèles de l’interaction rencontrent un certain nombre de contraintes, comme éviter de postuler des structures ou des procédures qui ne pourraient pas être hébergées par un cerveau humain ou un dispositif matériel. En particulier, un modèle de l’interaction doit renoncer à toute structure ou procédure infinie. Dans ce papier, nous montrons comment la prise en compte de cette contrainte nous amène à proposer, dans le cas particulier du temps, un modèle qui renonce à certains présupposés classiques, notamment l’existence d’une structure temporelle globale. L’abandon de cette hypothèse nous conduit à adopter une approche procédurale de la construction des relations temporelles. Le cas du temps est proposé comme un exemple montrant qu’il est possible de rapprocher les modèles formels de la performance humaine qu’ils sont censés expliquer.

              
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122. Dessalles, J.-L. & Ghadakpour, L. (2003). Object recognition is not predication - Commentary on James R. Hurford: "The neural basis of predicate-argument structure". Behavioral and Brain Sciences, 26 (3), 290-291.
     Keywords: MEANING       

     
     Predicates involved in language and reasoning are claimed to radically differ from categories applied to objects. Human predicates are the cognitive result of a contrast between perceived objects. Object recognition alone cannot generate such operations as modification and explicit negation. The mechanism studied by Hurford constitutes at best an evolutionary prerequisite of human predication ability.

              
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123. Dessalles, J.-L. (2003). Non-kin altruism and the evolutionary emergence of human language. Abstracts of the Conference ‘Human Biology: an Evolutionary Perspective Montpellier: Université de Montpellier 2.
     Keywords: EVOL.&LANG.       

     
     Human beings of both sexes take any opportunity to show their informational abilities through language.

              
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124. Hurford, J. R. & Dessalles, J.-L. (2002). The problematic transition from specific competences to general competence - Commentary on Peter Carruthers: "The cognitive functions of language". Behavioral and Brain Sciences, 25 (6), 690-691.
     Keywords: EVOL.&LANG.  MEANING       

     
     Postulating a variety of mutually isolated thought domains for pre-linguistic creatures is both unparsimonious and implausible, requiring unexplained parallel evolution of each separate module. Furthermore, the proposal that domain-general concepts are not accessible without prior exposure to phonetically realized human language utterances cannot be implemented by any concept-acquisition mechanism.

              
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125. Dessalles, J.-L. & Ghadakpour, L. (2002). The co-evolution of language and friendship. Abstracts of the International Conference on the Evolution of Language, 37. Cambridge, MA: University of Harvard.
     Keywords: EVOL.&LANG.       
                             
126. Dessalles, J.-L. (2002). Coalition factor in the evolution of non-kin altruism. In F. Schweitzer (Ed.), Modeling Complexity in Economic and Social Systems, 323-353. Singapour: World Scientific.
     Keywords: EVOL.&LANG.       

     
     Animal behavior is often altruistic. In the frame of the theory of natural selection, altruism can only exist under specific conditions like kin selection or reciprocal cooperation. We show that reciprocal cooperation, which is generally invoked to explain non-kin altruism, requires very restrictive conditions to be stable. Some of these conditions are not met in many cases of altruism observed in nature. In search of another explanation of non-kin altruism, we consider Zahavis’s theory of prestige. We extend it to propose a ‘political’ model of altruism. We give evidence showing that non-kin altruism can evolve in the context of inter-subgroup competition. Under such circumstances, altruistic behavior can be used by individuals to advertise their quality as efficient coalition members. In this model, only abilities which positively correlate with the subgroup success can evolve into altruistic behaviors.

              
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127. Ghadakpour, L. & Dessalles, J.-L. (2002). Cognitive requirements for the expression of time. Abstracts of the International Conference on the Evolution of Language, 47. Cambridge, MA: University of Harvard.
     Keywords: MEANING       
                             
128. Dessalles, J.-L. (2002). La fonction shannonienne du langage : un indice de son évolution. Langages, 36 (146), 101-111.
     Keywords: NARRATIVE       

     
     La raison première pour laquelle le comportement de langage existe dans notre espèce est à rechercher dans l’utilisation que nous en faisons et dans l’impact biologique que cette utilisation peut avoir sur la survie et la reproduction des individus. Nous analysons l’une de ces utilisations, que nous qualifions de shannonienne et qui consiste à attirer systématiquement l’attention sur les nouveautés. Nous suggérons que l’emploi shannonien du langage est révélateur de son utilisation première et constituait même la raison d’être de ce qu’il est convenu d’appeler le protolangage.

              
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129. Dessalles, J.-L. (2001). Qualia and spandrels: an engineering perspective. Paris: Technical Report ENST 2001-D-012.
     Keywords: CONSCIOUSNESS       

     
     A number of concepts are included in the term ‘consciousness’. We choose to concentrate here on phenomenal consciousness, the process through which we are able to experience aspects of our environment or of our physical state. We probably share this aspect of consciousness with many animals which, like us, feel pain or pleasure and experience colours, sounds, flavours, etc. Since phenomenal consciousness is a feature of some living species, we should be able to account for it in terms of natural selection. Does it have an adaptive function, or is it an epiphenomenon ? We shall give arguments to reject the second alternative. We propose that phenomenal properties of consciousness are involved in a labelling process that allows us to discriminate and to evaluate mental representations. We also discuss to what extent consciousness as such has been selected for this labelling function.

              
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130. Dessalles, J.-L. (2001). La récursivité dans le dialogue argumentatif. In B. Chaib-Draa & P. Enjalbert (Eds.), Actes des journées francophones ‘Modèles formels de l’interaction’ (MFI-01), 49-59. Toulouse: Université de Toulouse.
     Keywords: ARGUMENTATION       

     
     Les interventions, au cours d’un dialogue argumentatif, sont logiquement reliées les unes aux autres. De ce fait, l’agencement des répliques prend une forme arborescente, qui apparaît comme une structure fractale : la structure locale d’une partie du dialogue ressemble à la structure qui l’englobe. Nous montrons ensuite comment une telle structure peut être vue comme le résultat de l’application récursive d’une procédure de génération d’arguments. Nous envisageons enfin la faisabilité d’une capacité artificielle de dialogue construite autour d’une telle procédure récursive.

              
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131. Dessalles, J.-L. (2001). The role of language in the formation of large coalitions. In M. Hausberger (Ed.), Abstracts of the Conference ‘Social Life and Communication: An Element of Understanding in the Evolution of Language ?, 33-34. Rennes: Université de Rennes 1.
     Keywords: EVOL.&LANG.       
                             
132. Ghadakpour, L. & Dessalles, J.-L. (2001). Potential and actual infinite in cognitive models of time. Paris: Technical Report ENST 2001-D-004.
     Keywords: MEANING       
              
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133. Levisalles, N. & Dessalles, J.-L. (2001). Nous parlons car nous sommes une espèce politique - Interview. Libération, , 21/07/2001.
     Keywords: EVOL.&LANG.       
              
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134. Dessalles, J.-L. (2001). L’origine politique du langage. La Recherche, 341, 31-35.
     Keywords: EVOL.&LANG.       

     
     Comme toutes les caractéristiques physiques et toutes les dispositions comportementales universelles de notre espèce, la capacité de langage est un produit de la sélection naturelle. Quel avantage particulier a-t-elle procuré à nos ancêtres pour qu’ils se mettent à parler ?

              
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135. Dessalles, J.-L. (2000). Language and hominid politics. In C. Knight, M. Studdert-Kennedy & J. R. Hurford (Eds.), The evolutionary emergence of language: social function and the origins of linguistic form, 62-79. Cambridge: Cambridge University Press.
     Keywords: EVOL.&LANG.       

     
     Language is the main distinctive feature of our species. Why do we feel the urge to communicate with our fellows, and why is this form of communication, characterised by relevance, unique in animal kingdom ? In this chapter, we will first stress this specificity of human communication. In a second part, using computer evolutionary simulations, we will dismiss the usual claim that human communication is a specific form of reciprocal cooperation. A Darwinian account of language requires that we find a selective advantage in the communication act. We will propose, in the third part of this chapter, that such an advantage can be found if we consider language activity in the broader frame of human social organisation. In the continuation of the ‘chimpanzee politics’ studied by de Waal (1982), the ability to form large coalitions must have been an essential feature of hominid societies (Dunbar 1996). We will suggest that relevant speech originated in this context, as a way for individuals to select each other to form alliances.

              
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136. Ghadakpour, L. & Dessalles, J.-L. (2000). Le réalisme temporel face à Zénon. Temps et sciences cognitives - Actes des journées du Réseau de Sciences Cognitives d’Ile-de-France, 26. Paris: RISC.
     Keywords: MEANING       
              
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137. Dessalles, J.-L. (2000). La langue d’homo erectus. Sciences et Avenir hors-série, 125, 16-21.
     Keywords: EVOL.&LANG.       
              
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138. Dessalles, J.-L. (2000). Evolution et cognition - Actes de la journée scientifique de l’Association pour la Recherche Cognitive. Paris: ENST.
     Keywords: EVOL.&LANG.       
              
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139. Dessalles, J.-L. & Ghadakpour, L. (2000). Proceedings of the International Conference on the Evolution of Language. Paris: ENST.
     Keywords: EVOL.&LANG.       
              
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140. Dessalles, J.-L. (2000). Le protolangage : un portrait robot de la communication de nos ancêtres. In J.-L. Dessalles (Ed.), Evolution et cognition - Actes de la journée scientifique de l’Association pour la Recherche Cognitive, 19-24. Paris: ENST.
     Keywords: EVOL.&LANG.       
              
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141. Dessalles, J.-L. (2000). Aux origines du langage : Une histoire naturelle de la parole. Paris: Hermes Science.
     Keywords: EVOL.&LANG.       

     
     La capacité de langage est souvent présentée comme l’aboutissement inévitable d’une évolution qui va de l’amibe à l’homme. En acquerrant les prédispositions nécessaires à l’usage de la parole, notre espèce aurait simplement franchi une étape supplémentaire. Pourtant, ce comportement auquel nous consacrons une part significative de notre temps éveillé est, par bien des aspects, différent de la communication animale. En reliant la structure de chaque composante du langage (phonologie, syntaxe, sémantique, pragmatique) à ses possibles fonctions, l’auteur révèle un paradoxe : pourquoi les être humains cherchent-ils inlassablement à fournir des informations à leurs congénères ? Le comportement langagier semble faire exception à la théorie darwinienne, qui prévoit que les organismes se préoccupent avant tout de leur propre survie. Pour résoudre ce paradoxe, l’auteur nous demande de remonter aux origines du langage. Il en vient à l’idée que l’émergence de notre manière de communiquer est liée au mode d’organisation particulier des groupes humains. Les premières formes de langage seraient apparues, chez les hominidés, comme un moyen pour les individus de se choisir afin de former des coalitions. Ainsi, loin de résulter d’une tendance évolutive générale, l’apparition du langage serait une conséquence de l’organisation sociale singulière de notre espèce.

              
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142. Dessalles, J.-L. (2000). Two stages in the evolution of language use. In J.-L. Dessalles & L. Ghadakpour (Eds.), Proceedings of the International Conference on the Evolution of Language, 77-80. Paris: ENST.
     Keywords: EVOL.&LANG.       

     
     The study of language use, usually called pragmatics, reveals that the competence of speakers is not monolithic. It can be split into two quite distinct behaviors. The first one deals with salient events; the second one deals with problematic situations. We claim that the second ability emerged long after the first one in hominid evolutionary history. A consistent scenario is that communication about salient events is what the protolanguage hypothesized by Bickerton (1990) was used for. The detection and collective processing of problematic situations can be understood as an additional ability which gave rise to modern language.

              
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143. Dessalles, J.-L. & Ghadakpour, L. (1999). L’activité scientifique en tant que comportement naturel ancré sur le conflit cognitif. Conflits des interprétations et interprétation des conflits - Actes des journées de Rochebrune, 87-98. Paris: ENST.
     Keywords: ARGUMENTATION       
              
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144. Dessalles, J.-L. (1999). Coalition factor in the evolution of non-kin altruism. Advances in Complex Systems, 2 (2), 143-172.
     Keywords: EVOL.&LANG.       

     
     Animal behavior is often altruistic. In the frame of the theory of natural selection, altruism can only exist under specific conditions like kin selection or reciprocal cooperation. We show that reciprocal cooperation, which is generally invoked to explain non-kin altruism, requires very restrictive conditions to be stable. Some of these conditions are not met in many cases of altruism observed in nature. In search of another explanation of non-kin altruism, we consider Zahavis’s theory of prestige. We extend it to propose a ‘political’ model of altruism. We give evidence showing that non-kin altruism can evolve in the context of inter-subgroup competition. Under such circumstances, altruistic behavior can be used by individuals to advertise their quality as efficient coalition members. In this model, only abilities which positively correlate with the subgroup success can evolve into altruistic behaviors.

              
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145. Dessalles, J.-L. (1998). Characterising innateness in artificial and natural learning. In D. Canamero & M. van Someren (Eds.), Proceedings of the European Conference on Machine Learning (ECML-98), Workshop on Learning in Humans and Machines, 6-17. Chemnitz: Technische Universität Chemnitz - CSR-98-03.
     Keywords: LEARNING       

     
     The purpose of this paper is to propose a refinement of the notion of innateness. If we merely identify innateness with bias, then we obtain a poor characterisation of this notion, since any learning device relies on a bias that makes it choose a given hypothesis instead of another. We show that our intuition of innateness is better captured by a characteristic of bias, related to isotropy. Generalist models of learning are shown to rely on an ‘isotropic’ bias, whereas the bias of specialised models, which include some specific a priori knowledge about what is to be learned, is necessarily ‘anisotropic’. The so-called generalist models, however, turn out to be specialised in some way: they learn ‘symmetrical’ forms preferentially, and have strictly no deficiencies in their learning ability. Because some learning beings do not always show these two properties, such generalist models may be sometimes ruled out as bad candidates for cognitive modelling.

              
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146. Dessalles, J.-L. & Zalla, T. (1998). Phenomenal consciousness as phenotype. In T. Metzinger (Ed.), Abstracts of the Conference ‘Neural Correlates of Consciousness, 19-20. Bremen: Hanse Wissenschaftskolleg.
     Keywords: CONSCIOUSNESS       

     
     The question of the epiphenomenality of consciousness can be addressed from an evolutionary perspective. If phenomenal consciousness is not an evolutionary epiphenomenon, but is it part of our phenotype, we should conclude that consciousness is not a functional or neuronal epiphenomenon.

              
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147. Dessalles, J.-L. (1998). Limits of isotropic bias in natural and artificial models of learning. In G. Ritschard, A. Berchtold, F. Duc & D. A. Zighed (Eds.), Apprentissage : Des principes naturels aux méthodes artificielles, 307-319. Paris: Hermès.
     Keywords: LEARNING       

     
     Bias is always present in learning systems. There is no perfect, universal, way of learning that would avoid any ‘innate’ predetermination. However, all biases should not be considered equivalent. Usually, it is implicitly regarded as desirable to avoid anisotropic biases when designing a learning mechanism, especially when it is intended as a cognitive model of some human or animal learning ability. Anisotropic bias necessarily involves some ad hoc a priori knowledge that severely limits the generality of the learning device.

              
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148. Dessalles, J.-L. (1998). Linguistic relevance in hominid politics. In C. Knight (Ed.), Abstracts of the International Conference on the Evolution of Language, 30. London: University of East London.
     Keywords: EVOL.&LANG.       
              
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149. Dessalles, J.-L. (1998). Altruism, status, and the origin of relevance. In J. R. Hurford, M. Studdert-Kennedy & C. Knight (Eds.), Approaches to the evolution of language: Social and cognitive bases, 130-147. Cambridge: Cambridge University Press.
     Keywords: EVOL.&LANG.  SIGNALS       

     
     We deal here with the problem of the origin of language from the point of view of pragmatics. Our aim is to show that any scenario of language origin should explain the relevance phenomenon. Why do people feel obliged to be relevant in casual conversation ? Analysing the structure of relevance leads to unexpected conclusions : relevant information is valuable, therefore language seems to be altruistic. As a consequence, from a Darwinian perspective, speakers should be rare and continually prompted for their knowledge. What we observe, however, is the exact opposite : in many situations, speakers repeatedly strive to make their point, while listeners systematically evaluate what they hear. A possible solution to this paradox is that language is not altruistic and that relevant information is traded for status. The observation of spontaneous conversation provides some evidence that supports such a hypothesis.

              
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150. Dessalles, J.-L. (1998). On pragmatic competence. Celebration: An electronic festschrift in honor of Noam Chomsky’s 70th birthday http://mitpress.mit.edu/celebration.
     Keywords: ARGUMENTATION       
              
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151. Auriol, J.-B. & Dessalles, J.-L. (1998). Error characterisation in problem solving tasks. In C. Alvegård (Ed.), Proceedings of the International Conference on Computer Aided Learning and Instructions in Science and Engineering (CALISCE-98), 381-389. Göteborg: Chalmers University of Technology.
     Keywords: LEARNING       

     
     Students’ errors become manifest through erroneous behaviours noticed by the teacher. However, addressing behavioural deviation alone is not sufficient to design appropriate feedback. We propose here a model of student error, based on a separation between procedural and logical knowledge. This model is tested through its ability to predict the observed behaviour of subjects solving the Tower of Hanoi problem. Using this model, we are able to propose a ‘deep’ error classification, based on the observation of the internal representations of the system when it generates deviant behaviours. From this characterisation of errors, we aim at designing a critiquing system. Such a system will deliver more elaborate feedback to the learner, from which we hope better pedagogical efficiency and better acceptability.

              
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152. Auriol, J.-B. & Dessalles, J.-L. (1998). Separation of logical and calculation capabilities in a problem solving task. Proceedings of the European Conference on Cognitive Modelling (ECCM-98), 193-194. Nottingham: University of Nottingham.
     Keywords: LEARNING       

     
     The distinction between declarative and procedural knowledge is a well-accepted one. However, few models offer a consistent implementation of this distinction. We present such a system, based on a strict separation of logical and calculation capabilities, designed to model aspects of human problem solving behaviour. We have tested our approach on the Tower of Hanoi task by comparing the results provided by our model with the performance of novice subjects. We also compared these results with the performance of a few other computational models. These comparisons are quite promising. Our model has been designed to be simple and psychologically plausible. Its current implementation is still basic. We expect further improvement from the joint introduction of two separate learning abilities, a logical one and a procedural one.

              
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153. Dessalles, J.-L. & Zalla, T. (1998). On the evolution of phenomenal consciousness. Paris: Technical Report ENST-98-D-001.
     Keywords: CONSCIOUSNESS       

     
     A number of concepts are included in the term ‘consciousness’. We choose to concentrate here on phenomenal consciousness, the process through which we are able to experience aspects of our environment or of our physical state. We probably share this aspect of consciousness with many animals which, like us, feel pain or pleasure and experience colours, sounds, flavours, etc. Since phenomenal consciousness is a feature of some living species, we should be able to account for it in terms of natural selection. Does it have an adaptive function, or is it an epiphenomenon ? We shall give arguments to reject the second alternative. We propose that phenomenal properties of consciousness are involved in a labelling process that allows us to discriminate and to evaluate mental representations. We also discuss to what extent consciousness as such has been selected for this labelling function.

              
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154. Dessalles, J.-L. (1998). Casual conversation as logical constraint satisfaction. In J. Allwood (Ed.), Proceedings of the European Summer School in Logic, Language and Information (ESSLLI-98), Workshop on Pragmatics and Logic, 27-34. Saarbruecken: Saarbruecken Universität.
     Keywords: ARGUMENTATION       
              
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155. Dessalles, J.-L. (1998). The interplay of desire and necessity in dialogue. In J. Hulstijn & A. Nijholt (Eds.), Proceedings of the Workshop on Formal Semantics and Pragmatics of Dialogue (TWENDIAL-98) - Twente Workshop on Language Technology (TWLT-13), 89-97. Enschede: University of Twente.
     Keywords: ARGUMENTATION       

     
     The purpose of this paper is to suggest that many argumentative moves in casual dialogues can be explained in terms of conflicting desires and conflicting beliefs, in such a way that some of these moves may be predicted. Participants appraise the different outcomes of the conflicting situation and try to find, together, through dialogue, a solution that they consider as acceptable. We show how realistic dialogues can emerge through a simple recursive process from an initial cognitive conflict. This model is implemented in our program PARADISE which can reconstruct the argumentative moves of some real conversations.

              
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156. Bonabeau, E. & Dessalles, J.-L. (1997). Detection and emergence. Intellectica, 25 (2), 85-94.
     Keywords: EMERGENCE  SIMPLICITY       

     
     Two different conceptions of emergence are reconciled as two instances of the phenomenon of detection. In the process of comparing these two conceptions, we find that the notions of complexity and detection allow us to form a unified definition of emergence that clearly delineates the role of the observer.

              
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157. Auriol, J.-B. & Dessalles, J.-L. (1997). Deux représentations des connaissances de l’élève en vue de la génération de critiques. In M. Baron, P. Mendelsohn & J.-F. Nicaud (Eds.), Actes des journées ‘Environnements Interactifs d’Apprentissage avec Ordinateur’ de Cachan (EIAO-97), 289-290. Paris: Hermès.
     Keywords: LEARNING       
              
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158. Dessalles, J.-L. (1996). Pensée privée et communication sociale. In J. Stewart, J.-L. Dessalles & T. Fuhs (Eds.), Du collectif au social - Actes des journées de Rochebrune, 49-59. Paris: ENST.
     Keywords: CONSCIOUSNESS       

     
     Le fonctionnement cognitif d’un individu et le fonctionnement de la communication sociale sont deux phénomènes soumis à des contraintes assez différentes. Il n’est donc pas évident d’imaginer un parallélisme étroit entre ces deux processus. Pourtant la question de la parenté entre la pensée et le langage a été maintes fois abordée : pensons-nous avec des mots, la pensée est-elle un langage intériorisé, le langage précède-t-il la pensée chez l’enfant, etc. ? Je propose aussi d’aborder cette question, mais sous un angle original. La caractéristique du langage qui est retenue ici n’est pas la faculté d’agencer des mots pour produire des phrases qui évoquent une signification. Si l’on regarde le langage au niveau pragmatique, en retenant seulement de la faculté langagière le fait qu’elle permet d’enchaîner des arguments pertinents, alors force est de constater, dans le détail, une forte similitude entre le déroulement du flux de la pensée et celui de la communication sociale par excellence : la conversation. En d’autres termes, je suggère que l’enchaînement des pensées obéit aux contraintes de pertinence. Si l’on accepte de considérer une telle hypothèse, alors on doit envisager la possibilité que la structure de la pensée privée, constitutive de l’intelligence des individus humains, soit phylogénétiquement une conséquence des exigences de la communication sociale.

              
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159. Dessalles, J.-L. (1996). Des machines capables d’argumenter. In J. Vivier (Ed.), Psychologie du dialogue homme-machine en langage naturel, 117-126. Paris: Europia Productions.
     Keywords: ARGUMENTATION       
              
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160. Dessalles, J.-L. (1996). L’ordinateur génétique. Paris: Hermes Science.
     Keywords: EVOL.&INFORM.       

     
     Améliorer l’aérodynamique d’une voiture, gérer un portefeuille boursier, aiguiller des messages dans un commutateur téléphonique, tous ces problèmes techniques peuvent être résolus d’une manière biologique ! Depuis des millions d’années, la nature résout des problèmes très variés (locomotion, perception, protection, camouflage, ...) en utilisant toujours la même « méthode » : les variations génétiques et l’évolution par sélection. Les algorithmes génétiques résultent de la transposition informatique de la génétique et de l’évolution naturelles.

              
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161. Stewart, J., Dessalles, J.-L. & Fuhs, T. (1996). Du collectif au social - Actes des journées de Rochebrune. Paris: ENST.
     Keywords: EMERGENCE       
              
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162. Bergasol, V., Dessalles, J.-L., Kaplan, F., Marze, J.-C. & Picault, S. (1996). X-MOISE: a logical spreadsheet to elicit didactic knowledge. In A. Diaz de Ilarraz & I. Fernandez de C. (Eds.), Proceedings of the International Conference on Computer Aided Learning and Instructions in Science and Engineering (CALISCE-96) - Lecture Notes in Computer Science 1108, 430-432. Berlin: Springer-Verlag.
     Keywords: LEARNING       

     
     Knowledge elicitation is a critical problem in computerized learning environments that make use of a knowledge base. Fortunately, contrary to usual expertise elicitation situations, didactic scientific knowledge is quite often well formalized, and authors are used to deal with the logical organization of the domain they teach. We want to propose here an original tool, a logical spreadsheet which, if included in an authoring package, will help authors organize concepts and at the same time make both conception and maintenance of didactic knowledge bases much easier.

              
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163. Dessalles, J.-L. (1996). Pourquoi est-on, ou n’est-on pas, pertinent ? Communication et Langages, 107, 69-80.
     Keywords: NARRATIVE  ARGUMENTATION       

     
     Disposons-nous d’une grande liberté lorsque nous choisissons de communiquer ? Non, bien sûr, pas toujours, mais dans les situations sociales décontractées comme la conversation entre amis, personne ne pourrait prétendre que notre comportement est fortement contraint. Quoique... Il semble que nous soyons soumis, sans en avoir conscience la plupart du temps, à une contrainte extrêmement sévère : la contrainte de pertinence. Lors d’une conversation spontanée, une réplique non pertinente provoque un rejet systématique (« Pourquoi dis-tu cela ? ») plus ou moins agressif. Plus généralement, tout acte de communication se doit d’être pertinent. Un être humain qui ne produit plus d’énoncés pertinents est vite considéré comme un malade mental. D’où vient cette contrainte, comment fonctionne-t-elle, quel est son rôle ?

              
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164. Dessalles, J.-L. (1996). Genetic constraints on the evolution of human communication. In J. R. Hurford (Ed.), Abstracts of the International Conference on the Evolution of Language, 18. Edinburgh: University of Edinburgh.
     Keywords: EVOL.&LANG.       
              
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165. Bonabeau, E., Dessalles, J.-L. & Grumbach, A. (1995). Characterizing emergent phenomena (2): a conceptual framework. Revue Internationale de Systémique, 9 (3), 347-371.
     Keywords: EMERGENCE       

     
     The lack of a unifying conceptual framework for representing, characterizing and dealing with emergence and emergent phenomena,led us to study the building of such a framework, based on the notions of levels of organization and of levels of detection. Information theory and concepts related to theories of complexity will help us understand the nature of emergent phenomena.

              
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166. Dessalles, J.-L. (1995). Modèle "autoréactif" des sujets en situation de résolution de problème. In J. Caron-Pargue (Ed.), Actes des journée PROVERB de l’Association pour la Recherche Cognitive, ?? Paris: ENST.
     Keywords: LEARNING       
              
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167. Theraulaz, G., Dessalles, J.-L., Fuhs, T. & Stewart, J. (1995). Evolution et organisation: hasard et contraintes dans la genèse des formes collectives - Actes des journées de Rochebrune. Paris: ENST.
     Keywords: EMERGENCE       
              
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168. Dessalles, J.-L. (1995). Contraintes sur l’évolution naturelle de la communication. In G. Theraulaz, J.-L. Dessalles, T. Fuhs & J. Stewart (Eds.), Evolution et organisation: hasard et contraintes dans la genèse des formes collectives - Actes des journées de Rochebrune, 113-118. Paris: ENST.
     Keywords: EVOL.&LANG.       
              
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169. Bonabeau, E., Dessalles, J.-L. & Grumbach, A. (1995). Characterizing emergent phenomena (1): a critical review. Revue Internationale de Systémique, 9 (3), 327-346.
     Keywords: EMERGENCE       

     
     Emergence seems to be a central concept in Artificial Life, Cognitive Science, and many other related domains, but the meaning of which is not really agreed upon. In this paper, we critically review some major conceptions of emergence and give some examples of phenomena that are usually considered emergent.

              
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170. Dessalles, J.-L. (1995). Generation of relevant didactic explanations by the computer running a simulation for itself. In D. Donoval (Ed.), Proceedings of the International Conference on Computer Assisted Engineering Education (CAEE-95), 218-225. Bratislava: Slovak Technical University.
     Keywords: LEARNING       

     
     Conceptual knowledge is a fundamental part of what is taught to engineering students. However most efforts in C.A.L. research are devoted to helping students acquire new skills, not concepts. We describe here a research project that aims at providing the student with relevant conceptual explanations whenever these are needed. We try first to describe what a relevant explanation should be and how it could be generated. Then we consider the possibility of coupling the explanation module with a simulation program so that part of the knowledge used in explanations is extracted from the simulation.

              
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171. Dessalles, J.-L. (1993). From I.T.S. to I.C.S.: learning with an intelligent critic, not with a tutor. In D. Ioan (Ed.), Proceedings of the International Conference on Computer Assisted Engineering Education (CAEE-93), 9-14. Bucharest: Politehnica University.
     Keywords: LEARNING       
              
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172. Dessalles, J.-L. (1993). Détection collective. Intelligence collective - Actes des journées de Rochebrune, 21-31. Megève: AFCET.
     Keywords: EMERGENCE       
              
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173. Dessalles, J.-L. & Meyers, P. (1993). Exemple d’une simulation argumentée pour l’apprentissage de Prolog. In M. Baron, R. Gras & J.-F. Nicaud (Eds.), Actes des journées ‘Environnements Interactifs d’Apprentissage avec Ordinateur’ de Cachan (EIAO-93), 147-157. Paris: Eyrolles.
     Keywords: LEARNING       

     
     L’étudiant qui cherche à acquérir un savoir-faire, ici la maîtrise de Prolog, a aussi besoin de connaissances conceptuelles. Pour répondre à ce type de besoin, nous avons développé un système qui permet à l’étudiant de simuler l’exécution de son programme Prolog, mais qui lui offre aussi la possibilité de soumettre ce programme au regard critique de SAVANT 3. Ce dernier système a été conçu pour soutenir une argumentation avec l’étudiant. Il est utilisé ici pour critiquer la justesse et l’efficacité du programme écrit par l’étudiant, ce qui permet à celui-ci de corriger d’éventuelles fautes conceptuelles. L’étudiant peut ainsi faire tourner son programme et observer son exécution, pour ensuite "discuter" de ce qu’il a écrit avec SAVANT 3. Nous abordons la question de savoir s’il est possible et souhaitable d’étendre ce qui n’est pour l’instant qu’une maquette à des situations réelles (par ex. programme Prolog complexe) et à des sujets quelconques (économie, architecture de réseau, etc.).

              
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174. Dessalles, J.-L. (1993). Usage naturel du langage: modèle, simulation et application à l’apprentissage. In O. Boussaid, M. Brissaud & et al. (Eds.), Pluridisciplinarité dans les sciences cognitives - Actes du colloque de l’Association Internationale pour le Développement de la Recherche Interdisciplinaire (AIDRI-92), 180-193. Paris: Hermès.
     Keywords: ARGUMENTATION  LEARNING       
              
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175. Dessalles, J.-L. (1993). Modèle cognitif de la communication spontanée, appliqué à l’apprentissage des concepts - Thèse de doctorat. Paris: ENST - 93E022.
     Keywords: ARGUMENTATION  LEARNING       
              
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176. Dessalles, J.-L. (1993). Ancrage sans extraction de régularités: le mécanisme d’appariement symbolique. In B. Amy, B. Orsier & A. Grumbach (Eds.), Actes des journées ‘Formation des symboles dans les modèles de la cognition, 147-158. Grenoble: IMAG/LIFIA.
     Keywords: LEARNING       
                             
177. Dessalles, J.-L. (1992). Biomimétisme des algorithmes génétiques. In P. Bourgine (Ed.), Apprentissage, évolution, adaptation - Actes des journées de Rochebrune, 14-21. Megève: AFCET.
     Keywords: EVOL.&INFORM.       
                             
178. Dessalles, J.-L. (1992). Biomimetic use of genetic algorithms. In R. Männer & B. Manderick (Eds.), Proceedings of the Conference on Parallel Problem Solving from Nature, 127-135. Amsterdam: North-Holland.
     Keywords: EVOL.&INFORM.       

     
     Genetic algorithms are considered as an original way to solve problems, probably because of their generality and of their "blind" nature. But GAs are also unusual since the features of many implementations (among all that could be thought of) are principally led by the biological metaphor, while efficiency measurements intervene only afterwards. We propose here to examine the relevance of these biomimetic aspects, by pointing out some fundamental similarities and divergences between GAs and the genome of living beings shaped by natural selection. One of the main differences comes from the fact that GAs rely principally on the so-called implicit parallelism, while giving to the mutation/selection mechanism the second role. Such differences could suggest new ways of employing GAs on complex problems, using complex codings and starting from nearly homogeneous populations.

              
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179. Dessalles, J.-L. & Rajman, M. (1992). Concepts and procedures in engineering education: designing specific teaching aids. In K. Kveton (Ed.), Proceedings of the International Conference on Trans-European Cooperation in Engineering Education, 11-17. Prague: Czech Technical University.
     Keywords: LEARNING       
              
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180. Dessalles, J.-L. (1992). Logical constraints on spontaneous conversation. Paris: Technical Report ENST 92-D-011.
     Keywords: NARRATIVE  ARGUMENTATION       
              
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181. Dessalles, J.-L. (1992). SAVANT3 : un système d’EIAO fondé sur l’explication conversationnelle. Actes des journées ‘Explication, 77-86. Sophia-Antipolis: INRIA.
     Keywords: LEARNING       
              
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182. Dessalles, J.-L. (1992). Les aspects cognitifs de l’émergence. In B. Amy, J.-J. Ducret & A. Grumbach (Eds.), Actes des journées ‘Emergence dans les modèles de la cognition, 47-59. Paris: ENST.
     Keywords: EMERGENCE       
                             
183. Dessalles, J.-L. (1992). SAVANT: how to help engineers to learn new concepts. European Journal of Engineering Education, 17 (2), 189-194.
     Keywords: LEARNING       
              
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184. Dessalles, J.-L. (1992). From knowledge to conversation: a computational model of conversation. Technical Report ENST 92-D-019.
     Keywords: ARGUMENTATION       
                             
185. Dessalles, J.-L. (1992). Model-based surprise and explanation: a way to negotiate concepts. In P. Brezillon (Ed.), Proceedings of the European Conference on Artificial Intelligence (ECAI-92), Workshop on Improving the Use of Knowledge-Based Systems with Explanations, 107-113. Paris: Université Paris VI.
     Keywords: ARGUMENTATION  LEARNING       

     
     We present here an analysis of a specific form of explanation that can be found in naturally occurring conversations, and that may be needed by users of KBS: explanations as answers to surprises that follow a discrepancy between expectations and reality. We describe a tutoring system based on this type of explanation: SAVANT3 systematically looks for reasons to be surprised, so that the student feels compelled to give explanations. We examine the requirements that a system has to meet to be able to produce this kind of explanation based on a preliminary surprise.

              
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186. Dessalles, J.-L. (1992). L’incidence logique de l’interaction dans la communication d’informations. Technologies Idéologies Pratiques, 10, 325-335.
     Keywords: ARGUMENTATION       
              
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187. Dessalles, J.-L. (1992). Logical constraints on relevance in spontaneous conversation. Paris: Short version of Technical Report ENST 92-D-011.
     Keywords: ARGUMENTATION       
                             
188. Dessalles, J.-L. (1992). Les contraintes logiques des conversations spontanées. Paris: Rapport Technique ENST 92-D-011.
     Keywords: NARRATIVE  ARGUMENTATION       
              
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189. Dessalles, J.-L. (1991). Conversation assisted learning: the SAVANT3 dialog module. In E. N. Forte (Ed.), Proceedings of the International Conference on Computer Aided Learning and Instructions in Science and Engineering (CALISCE-91), 159-165. Lausanne: Presses Polytechniques et Universitaires Romandes.
     Keywords: LEARNING       
              
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190. Dessalles, J.-L. (1991). SAVANT: how to help engineers learn new concepts. In J. Michel & Z. Pitra (Eds.), Proceedings of the International Conference on Computer Assisted Engineering Education (CAEE-91), 202-207. Prague: Czech Technical University.
     Keywords: LEARNING       
                             
191. Dessalles, J.-L. (1990). The simulation of conversations. In T. Kohonen & F. Fogelman-Soulié (Eds.), Proceedings of the Cognitiva-90 Symposium, 483-492. Amsterdam: North Holland.
     Keywords: ARGUMENTATION       

     
     We try to show here how the structure of conversations can be explained by taking into account the logical knowledge that the speakers must possess to perform their replies. This study starts with the careful examination of observed excerpts taken from recorded spontaneous conversations. Next we express the minimal knowledge of each speaker by means of a special logical representation (modalities and paradoxical clauses). The PARADISE program is then able to reconstruct the dynamic chaining of replies from this static knowledge. The capabilities of PARADISE allow us to make three points. First they legitimize the use of logic and present it as an essential tool for spontaneous human speech analysis. Second, the strategies used by PARADISE give some indication of the unconscious strategies used by human speakers. And third, we mention how these results could lead to significant improvements of man-machine interface in knowledge-based systems.

              
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192. Dessalles, J.-L. (1990). Computer assisted concept learning. In D. H. Norrie & H.-W. Six (Eds.), Proceedings of the International Conference on Computer Assisted Learning (ICCAL-90) - Lecture Notes in Computer Science 438, 175-183. Berlin: Springer-Verlag.
     Keywords: LEARNING       

     
     The present study shows that there is a qualitative difference between concept and skill acquisition, and that it may have some consequences on the design of C.A.I. courseware. We show for instance that concept learning is essentially a logical process, based on rule acquisition or modification, and that conversation (free dialogue) is best suited for concept transmission. This paper describes a mixed-initiative dialogue module which is part of the ‘SAVANT 3’ CAI system.

              
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193. Dessalles, J.-L. (1990). SAVANT3 : un enseignement des concepts assisté par ordinateur. L’Echo des Recherches, 142, 34-44.
     Keywords: LEARNING       

     
     On ne saurait imaginer l’enseignement du siècle prochain sans ordinateur. Certains affirment même que quelques séances où l’étudiant interagit avec la machine remplaceront bon nombre d’heures passées à écouter le monologue du professeur, à déchiffrer des livres ou à peiner sur des exercices. Pourtant, malgré la dimension de l’enjeu, personne n’est en mesure, à cette date, d’indiquer la manière de doter l’ordinateur d’une compétence suffisante pour qu’il tienne son rôle dans un tel scénario. Les principes qui sont à la base du système SAVANT3, développé à Télécom Paris, pourraient constituer un ingrédient de cet Enseignement Assisté par Ordinateur du futur.

              
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194. Dessalles, J.-L. (1989). L’enseignement des concepts assisté par ordinateur. Paris: Rapport Technique ENST 89-D-005.
     Keywords: LEARNING       
                             
195. Dessalles, J.-L. (1985). Stratégies naturelles d’acquisition des concepts et applications E.A.O. Actes du colloque Cognitiva-85, 713-719. Paris: CESTA.
     Keywords: LEARNING       
              
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196. Dessalles, J.-L. (1984). SAVANT: l’enseignement assisté par télématique dans la formation des ingénieurs de l’ENST. L’Echo des Recherches, 117, 67-76.
     Keywords: LEARNING       
              
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197. Dessalles, J.-L. (1984). Une troisième voie pour l’assistance à l’enseignement supérieur : SAVANT. Actes du forum ‘Enseignement Assisté par Ordinateur’ (EAO-84), 35. Lyon: ESC de Lyon.
     Keywords: LEARNING