MindRACES

Skip to content
You are here: Home » Publications » UW-COGSCI Publications » Problem Solution Sustenance in XCS
Sections
Personal tools
Views
  • State: visible

Problem Solution Sustenance in XCS

Butz, M.V., Goldberg, D.E., Lanzi, P.L., & Sastry, K. (2007). Problem Solution Sustenance in XCS: Markov Chain Analysis of Niche Support Distributions and Consequent Computational Complexity. Genetic Programming and Evolvable Machines, 8, 5-37.

Click here to get the file

Size 465.4 kB - File type application/x-download


Topics associated with the current item:

AREA:Forward models

KINDOF:Methodological

KINDOF:Modelling

PARTNER:UW-COGSCI

THEME:Sensori-motor

WPS:4

Authors and Collaborators:

Butz, Martin V. Goldberg, David E. Lanzi, Pier-Luca Sastry, Kumara
Created by butz
Contributors : Butz, Martin V., Goldberg, David E., Lanzi, Pier-Luca, Sastry, Kumara
Last modified 2007-04-23 12:20 PM
 

Powered by Plone

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.