PSO-based coevolutionary Game Learning

PSO-based coevolutionary Game Learning

Games have been investigated as computationally complex problems since the inception of artificial intelligence in the 1950’s. Originally, search-based techniques were applied to create a competent (and sometimes even expert) game player. The search-based techniques, such as game trees, made use of...

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Bibliographic Details
Main Author: Franken, Cornelis J.
Other Authors: Engelbrecht, Andries P.
Published: 2013
Subjects:
Games
Machine learning
Neural networks
Particle swarm optimisation
Iterated prisoner’s dilemma
Evolutionary computation
Coevolution
Checkers
Computational intelligence
UCTD
Online Access:http://hdl.handle.net/2263/30166
Franken, C 2004, PSO-based coevolutionary Game Learning, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/30166 >
http://upetd.up.ac.za/thesis/available/etd-12072004-074439/

Internet

http://hdl.handle.net/2263/30166
Franken, C 2004, PSO-based coevolutionary Game Learning, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/30166 >
http://upetd.up.ac.za/thesis/available/etd-12072004-074439/

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