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Cognition with neurons: A large-scale, biologically realistic model of the Wason Chris Eliasmith
 

Summary: Cognition with neurons: A large-scale, biologically realistic model of the Wason
task
Chris Eliasmith
Dept. of Philosophy and Dept. of Systems Design Engineering
University of Waterloo, Waterloo, Ontario N2L 3G1 Canada
Abstract
I present a cognitive model, dubbed BioSLIE, that integrates
and extends recent advances in: 1) distributed, structure-
sensitive representation; 2) neurocomputational modeling; and
3) our understanding of the neuroanatomy of inference. As a
result, BioSLIE is biologically detailed, learns different behav-
iors in different contexts, and exhibits systematic, structure-
sensitive generalization. Here, BioSLIE is applied to the Wa-
son card selection task. Its performance meets Cosmides'
(1989) challenge to mechanistically define domain-general
procedures that can use induction to produce the observed do-
main specific performance on the Wason task. As well, it
demonstrates the relevance of neural computation to under-
standing cognition, despite claims to the contrary by Fodor and
Pylyshyn (1988) and Jackendoff (2002).

  

Source: Anderson, Charles H. - Departments of Anatomy and Neurobiology & Physics, Washington University in St. Louis

 

Collections: Computer Technologies and Information Sciences; Biology and Medicine