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A Similarity and Fuzzy Logic-Based Approach to Cerebral Categorisation
Julien Erny, Josette Pastor, Henri Prade
21 - 25
Frontiers in Artificial Intelligence and Applications
Volume 141: ECAI 2006
Abstract

This work proposes a formal modelling of categorisation processes attempting at simulating the way information is categorised by neural populations in the human brain. The formalism mainly relies on a similarity-based approach to categorisation. It involves weighted rules that use inference and fusion techniques borrowed from fuzzy logic. The approach is illustrated by a simulation of the McGurck effect where the combination of contradictory auditory and visual stimuli creates an auditory perceptive illusion.

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