|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