|SIMPLICITY:||Simplicity Theory & Artificial Intelligence|
|EVOL.&LANG.:||Evolutionary origins of language and of cognition|
|NARRATIVE:||Cognitive modelling of interest in conversational narratives|
|ARGUMENTATION:||Cognitive modelling of relevance in argumentative discussions|
|MEANING:||Cognitive modelling of meaning|
|CONVERSATION:||Cognitive modelling of spontaneous conversation|
|EMOTION:||Cognitive modelling of emotional intensity|
|LEARNING:||Cognitive modelling of concept learning|
|CONSCIOUSNESS:||Qualia cannot be epiphenomenal (but the expl. gap is intact)|
|EMERGENCE:||Emergence as complexity drop|
|EVOL.&INFORM.:||Evolution and information|
|Simplicity Theory says that interesting situations must appear abnormally simple.
This means that they are less complex (in the Kolmogorov sense) than expected.
This led me to define subjective probability as p = 2–U, where U represents unexpectedness.
Please visit >>>>> www.simplicitytheory.science
|Exposé pour le centenaire de Claude Shannon à l’Institut Henri Poincaré.
Information, simplicité et pertinence. (in French)
|Talk at COGSCI 2015
Probability judgments rely on complexity assessments