A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers

31 Aug 2015David HowardLarry BullPier-Luca Lanzi

Learning Classifier Systems (LCS) are population-based reinforcement learners that were originally designed to model various cognitive phenomena. This paper presents an explicitly cognitive LCS by using spiking neural networks as classifiers, providing each classifier with a measure of temporal dynamism... (read more)

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