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Empirical Analysis of Generalization and Learning in XCS with Gradient Descent

Lanzi P. L., Butz M. V., Goldberg D. E. (2007). GECCO 2007: Genetic and Evolutionary Computation Conference. 1814-1821.

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Topics associated with the current item:

AREA:Forward models

KINDOF:Comparison

PARTNER:UW-COGSCI

THEME:Ideomotor principle

WPS:4

Authors and Collaborators:

Pier Luca Lanzi Martin V. Butz David E. Goldberg
Created by butz
Contributors : Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
Last modified 2007-10-30 02:26 PM
 

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Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.