2012/08/09 by Jean-Louis Dessalles, Dessalles, Jean-Louis · 1 citation
Arts and Humanities · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Benford’s Law and Fraud Detection #Computability, Logic, AI Algorithms #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Philosophy and History of Science #cs.AI #cs.CC
paper · pdf · doi:10.48550/arxiv.1208.1921
Presented at the Solomonoff 85th Memorial Conference, Monash University, Melbourne, December 2011 12 pages
arxiv created 2012/08/09 · openalex publication_date 2012/08/09 · arxiv updated 2012/08/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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. falsifiable) model for the selection of situations worth reporting (interestingness) and for what individuals consider an appropriate move in conversation.