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Volumn 5, Issue 1, 2008, Pages 45-57

Computational intelligence and games: Challenges and opportunities

Author keywords

Evolution; Games; Machine learning; N tuple systems; Neural networks; Temporal difference learning (TDL)

Indexed keywords

ANIMATION; GAME THEORY; LEARNING SYSTEMS;

EID: 38849138655     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-008-0045-8     Document Type: Article
Times cited : (35)

References (39)
  • 2
    • 0035415173 scopus 로고    scopus 로고
    • Evolving an Expert Checkers Playing Program without Using Human Expertise
    • 4
    • K. Chellapilla, D. B. Fogel. Evolving an Expert Checkers Playing Program without Using Human Expertise. IEEE Transactions on Evolutionary Computation, vol. 5, no. 4, pp. 422-428, 2001.
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , pp. 422-428
    • Chellapilla, K.1    Fogel, D.B.2
  • 3
  • 8
    • 0002060756 scopus 로고
    • ProbCut: An Effective Selective Extension of the Aalpha-Beta Algorithm
    • 2
    • M. Buro. ProbCut: An Effective Selective Extension of the Aalpha-Beta Algorithm. ICCA Journal, vol. 18, no. 2, pp. 71-76, 1995.
    • (1995) ICCA Journal , vol.18 , pp. 71-76
    • Buro, M.1
  • 12
    • 34547250175 scopus 로고    scopus 로고
    • Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options
    • Vancouver, BC, Canada
    • N. Jin, E. Tsang. Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. In Proceedings of Congress on Evolutionary Computation, Vancouver, BC, Canada, pp. 2149-2156, 2006.
    • (2006) Proceedings of Congress on Evolutionary Computation , pp. 2149-2156
    • Jin, N.1    Tsang, E.2
  • 14
    • 72949083817 scopus 로고
    • Allocative Efficiency of Markets with Zero-intelligence Traders: Market as a Partial Substitute for Individual Rationality
    • 1
    • D. K. Gode, S. Sunder. Allocative Efficiency of Markets with Zero-intelligence Traders: Market as a Partial Substitute for Individual Rationality. The Journal of Political Economy, vol. 101, no. 1, pp. 119-137, 1993.
    • (1993) The Journal of Political Economy , vol.101 , pp. 119-137
    • Gode, D.K.1    Sunder, S.2
  • 15
    • 0038711513 scopus 로고    scopus 로고
    • Explorations in Evolutionary Design of Online Auction Market Mechanisms
    • 2
    • D. Cliff. Explorations in Evolutionary Design of Online Auction Market Mechanisms. Journal of Electronic Commerce Research and Applications, vol. 2, no. 2, pp. 162-175, 2003.
    • (2003) Journal of Electronic Commerce Research and Applications , vol.2 , pp. 162-175
    • Cliff, D.1
  • 18
    • 33646714634 scopus 로고    scopus 로고
    • Evolutionary Function Approximation for Reinforcement Learning
    • S. Whiteson, P. Stone. Evolutionary Function Approximation for Reinforcement Learning. Journal of Machine Learning Research, vol. 7, pp. 877-917, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 877-917
    • Whiteson, S.1    Stone, P.2
  • 19
    • 0029276036 scopus 로고
    • Temporal Difference Learning and TD-gammon
    • 3
    • G. Tesauro. Temporal Difference Learning and TD-gammon. Communications of the ACM, vol. 38, no. 3, pp. 58-68, 1995.
    • (1995) Communications of the ACM , vol.38 , pp. 58-68
    • Tesauro, G.1
  • 20
    • 0032156067 scopus 로고    scopus 로고
    • Co-evolution in the Successful Learning of Backgammon Strategy
    • 3
    • J. B. Pollack, A. D. Blair. Co-evolution in the Successful Learning of Backgammon Strategy. Machine Learning, vol. 32, no. 3, pp. 225-240, 1998.
    • (1998) Machine Learning , vol.32 , pp. 225-240
    • Pollack, J.B.1    Blair, A.D.2
  • 21
    • 0032156140 scopus 로고    scopus 로고
    • Comments on "co-Evolution in the Successful Learning of Backgammon Strategy"
    • 3
    • G. Tesauro. Comments on "Co-Evolution in the Successful Learning of Backgammon Strategy". Machine Learning, vol. 32, no. 3, pp. 241-243, 1998.
    • (1998) Machine Learning , vol.32 , pp. 241-243
    • Tesauro, G.1
  • 22
    • 0034876587 scopus 로고    scopus 로고
    • Why Co-evolution Beats Temporal Difference Learning at Backgammon for a Linear Architecture, but not a Non-linear Architecture
    • P. J. Darwen. Why Co-evolution Beats Temporal Difference Learning at Backgammon for a Linear Architecture, but not a Non-linear Architecture. In Proceedings of Congress on Evolutionary Computation, IEEE Press, vol. 2, pp. 1003-1010, 2001.
    • (2001) Proceedings of Congress on Evolutionary Computation , vol.2 , pp. 1003-1010
    • Darwen, P.J.1
  • 23
    • 29244474089 scopus 로고    scopus 로고
    • Co-evolution versus Selfplay Temporal Difference Learning for Acquiring Position Evaluation in Small-board Go
    • 6
    • T. P. Runarsson, S. M. Lucas. Co-evolution versus Selfplay Temporal Difference Learning for Acquiring Position Evaluation in Small-board Go. IEEE Transactions on Evolutionary Computation, vol. 9, no. 6, pp. 628-640, 2005.
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , pp. 628-640
    • Runarsson, T.P.1    Lucas, S.M.2
  • 25
    • 1942420841 scopus 로고    scopus 로고
    • The Significance of Temporaldifference Learning in Self-play Training: TD-rummy versus EVO-rummy
    • Washington D.C., USA
    • C. Kotnik, J. Kalita. The Significance of Temporaldifference Learning in Self-play Training: TD-rummy versus EVO-rummy. In Proceedings of the International Conference on Machine Learning, Washington D.C., USA, pp. 369-375. 2003.
    • (2003) Proceedings of the International Conference on Machine Learning , pp. 369-375
    • Kotnik, C.1    Kalita, J.2
  • 28
    • 34548765403 scopus 로고    scopus 로고
    • Point-to-point Car Racing: An Initial Study of Evolution versus Temporal Difference Learning
    • Westin Harbour Castle Toronto Ontario Canada
    • S. M. Lucas, J. Togelius. Point-to-point Car Racing: An Initial Study of Evolution versus Temporal Difference Learning. In Proceedings of IEEE Symposium on Computational Intelligence and Games, Westin Harbour Castle Toronto, Ontario Canada, pp. 260-267, 2007.
    • (2007) Proceedings of IEEE Symposium on Computational Intelligence and Games , pp. 260-267
    • Lucas, S.M.1    Togelius, J.2
  • 29
    • 0024064183 scopus 로고
    • A Pattern Classification Approach to Evaluation Function Learning
    • 1
    • K.-F. Lee, S. Mahajan. A Pattern Classification Approach to Evaluation Function Learning. Artificial Intelligence, vol. 36, no. 1, pp. 1-25, 1988.
    • (1988) Artificial Intelligence , vol.36 , pp. 1-25
    • Lee, K.-F.1    Mahajan, S.2
  • 30
    • 0025419413 scopus 로고
    • The Development of a World Class Othello Program
    • 1
    • K.-F. Lee, S. Mahajan. The Development of a World Class Othello Program. Artificial Intelligence, vol. 43,no. 1, pp. 21-36, 1990.
    • (1990) Artificial Intelligence , vol.43 , pp. 21-36
    • Lee, K.-F.1    Mahajan, S.2
  • 31
    • 34548796964 scopus 로고    scopus 로고
    • NEC Research Institute Princeton, NJ, [Online]
    • M. Buro 1997 LOGISTELLO-A Strong Learning Othello Program. NEC Research Institute Princeton, NJ, 1997, [Online], Available: http://www.cs.ualberta.ca/~ mburo/ps/log-overview.ps.gz.
    • (1997) LOGISTELLO-A Strong Learning Othello Program
    • Buro, M.1
  • 32
    • 21044442867 scopus 로고    scopus 로고
    • Observing the Evolution of Neural Networks Learning to Play the Game of Othello
    • 3
    • S. Y. Chong, M. K. Tan, J. D. White. Observing the Evolution of Neural Networks Learning to Play the Game of Othello. IEEE Transactions on Evolutionary Computation, vol. 9, no. 3, pp. 240-251, 2005.
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , pp. 240-251
    • Chong, S.Y.1    Tan, M.K.2    White, J.D.3
  • 34
    • 0014611373 scopus 로고
    • Experiments with the n-tuple Method of Pattern Recognition
    • 12
    • J. Ullman. Experiments with the n-tuple Method of Pattern Recognition. IEEE Transactions on Computers, vol. 18, no. 12, pp. 1135-1137, 1969.
    • (1969) IEEE Transactions on Computers , vol.18 , pp. 1135-1137
    • Ullman, J.1
  • 35
    • 0005646696 scopus 로고    scopus 로고
    • A Theoretical and Experimental Account of n-tuple Classifier Performance
    • 3
    • R. Rohwer, M. Morciniec. A Theoretical and Experimental Account of n-tuple Classifier Performance. Neural Computation, vol. 8, no. 3, pp. 629-642, 1996.
    • (1996) Neural Computation , vol.8 , pp. 629-642
    • Rohwer, R.1    Morciniec, M.2
  • 37


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.