Coevolving intelligent game players in a cultural framework
Game playing has always provided an exciting avenue of research in Artificial Intelligence. Various methodologies and techniques have been developed to build intelligent game players. Coevolution has proven to be successful in learning how to play games with no prior game knowledge. In this paper we...
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| creator | Sharma, S. Kobti, Z. Goodwin, S.G. |
| description | Game playing has always provided an exciting avenue of research in Artificial Intelligence. Various methodologies and techniques have been developed to build intelligent game players. Coevolution has proven to be successful in learning how to play games with no prior game knowledge. In this paper we develop a coevolutionary system for the General Game Playing framework, where absolutely nothing is known about the game beforehand, and enhance it using Cultural Algorithms. In order to test the effectiveness of complementing coevolution with cultural algorithms, we play matches in several games between our player, a random player and one trained using standard coevolution. |
| doi_str_mv | 10.1109/CEC.2009.4983005 |
| format | Conference Proceeding |
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| ispartof | 2009 IEEE Congress on Evolutionary Computation, 2009, p.638-645 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial intelligence Artificial neural networks Computer science Cultural differences Feedforward neural networks Feedforward systems Intelligent agent Learning Neural networks Testing |
| title | Coevolving intelligent game players in a cultural framework |
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