A Multi-Agent Approach to the Game of Go Using Genetic Algorithms

Bibliographic Details
Main Authors: Blackman, Todd, Agah, Arvin
Format: Article
Language:English
Published: De Gruyter 2009-06-01
Series:Journal of Intelligent Systems
Online Access:https://doi.org/10.1515/JISYS.2009.18.1-2.143
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spelling doaj-44a10f0f9b184b6899b66b1476830ac72021-09-06T19:39:29ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2009-06-01181-214316910.1515/JISYS.2009.18.1-2.143A Multi-Agent Approach to the Game of Go Using Genetic AlgorithmsBlackman, ToddAgah, Arvinhttps://doi.org/10.1515/JISYS.2009.18.1-2.143
collection DOAJ
language English
format Article
sources DOAJ
author Blackman, Todd
Agah, Arvin
spellingShingle Blackman, Todd
Agah, Arvin
A Multi-Agent Approach to the Game of Go Using Genetic Algorithms
Journal of Intelligent Systems
author_facet Blackman, Todd
Agah, Arvin
author_sort Blackman, Todd
title A Multi-Agent Approach to the Game of Go Using Genetic Algorithms
title_short A Multi-Agent Approach to the Game of Go Using Genetic Algorithms
title_full A Multi-Agent Approach to the Game of Go Using Genetic Algorithms
title_fullStr A Multi-Agent Approach to the Game of Go Using Genetic Algorithms
title_full_unstemmed A Multi-Agent Approach to the Game of Go Using Genetic Algorithms
title_sort multi-agent approach to the game of go using genetic algorithms
publisher De Gruyter
series Journal of Intelligent Systems
issn 0334-1860
2191-026X
publishDate 2009-06-01
url https://doi.org/10.1515/JISYS.2009.18.1-2.143
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