Complexité cognitive appliquée à la modélisation de l'intérêt narratif
Abstract
Cognitive Complexity as a Criterion for Modeling Narrative Interest. Cognitive complexity is defined as a special case of Kolmogorov complexity. This notion is claimed to be essential for predicting which states of affairs appear interesting to a human mind, as evidenced by the selection of events that are spontaneously signaled or reported: interesting events correspond to a cognitive complexity drop. We consider the consequences of this model for the study of conversational relevance.
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