| Computational Intelligence and Games： Challenges and Opportunities |
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| 作者姓名： | Simon M. Lucas |
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| 作者单位： | Centre for |
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| 摘 要： | The last few decades have seen a phenomenal increase in the quality, diversity and pervasiveness of computer games. The worldwide computer games market is estimated to be worth around USD 21bn annually, and is predicted to continue to grow rapidly. This paper reviews some of the recent developments in applying computational intelligence （CI） methods to games, points out some of the potential pitfalls, and suggests some fruitful directions for future research.
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| 关 键 词： | 机器学习 时间差分学习 神经网络 计算机智能 |
| 收稿时间： | 2007-09-24 |
| 修稿时间： | 2007-11-07 |
Computational intelligence and games: Challenges and opportunities |
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| Simon M. Lucas.Computational intelligence and games: Challenges and opportunities[J].International Journal of Automation and computing,2008,5(1):45-57. |
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| Authors: | Simon M Lucas |
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| Affiliation: | (1) Centre for Computational Intelligence, Department of Computing and Electronic Systems, University of Essex, Colchester, CO4 3SQ, UK |
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| Abstract: | The last few decades have seen a phenomenal increase in the quality,diversity and pervasiveness of computer games.The worldwide computer games market is estimated to be worth around USD 21bn annually,and is predicted to continue to grow rapidly. This paper reviews some of the recent developments in applying computational intelligence(CI)methods to games,points out some of the potential pitfalls,and suggests some fruitful directions for future research. |
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| Keywords: | Games machine learning evolution temporal difference learning(TDL) neural networks n-tuple systems |
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