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Improving the performance of Pittsburgh learning classifier systems using a default rule

(2007). In Kovacs, T. et al. (Eds.) Learning Classifier Systems: International Workshops, IWLCS 2003-2005, LNAI 4399, Springer-Verlag, Berlin Heidelberg. 291-307.

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Topics associated with the current item:

AREA:Forward models

KINDOF:Improvement

PARTNER:UW-COGSCI

THEME:Action Control

WPS:4

Authors and Collaborators:

Bacardit, Jaume Goldberg, David E. Butz, Martin V.
Created by butz
Contributors : Bacardit, Jaume, Goldberg, David E., Butz, Martin V.
Last modified 2007-10-30 03:02 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.