Regular Paper
Cognitive Complexity as a Criterion for Modeling Narrative Interest
Dessalles Jean-Louis
Language of the article : French
DOI: 10.3406/intel.2007.1272
DOI: 10.3406/intel.2007.1272
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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.
Pour citer cet article :
Dessalles Jean-Louis (2007/1). Cognitive Complexity as a Criterion for Modeling Narrative Interest. In Grumbach Alain & Klinger Evelyne (Eds), Virtual and Cognition, Intellectica, 45, (pp.145-166), DOI: 10.3406/intel.2007.1272.