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 8 papers (selection) (but see my other papers)
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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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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 the social context that is unique to our species.
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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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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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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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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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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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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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