To create intelligent adaptive neuro-controller of game opponent from UCT-created data

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

Volumn 2, Issue , 2009, Pages 445-449

  Fu, Yiwen ^a   Yang, Si ^a   He, Suoju ^a   Yang, Jiajian ^a   Liu, Xiao ^a   Chen, Yang ^a   Ji, Donglin ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Adaptive game AI; Dead end; Neuro controller; UCT

Indexed keywords

ADAPTIVE GAME AI; BASIC PRINCIPLES; COMPUTATION-INTENSIVE ALGORITHMS; COMPUTER GO; EFFICIENT ALGORITHM; EXCELLENT PERFORMANCE; KEY FACTORS; NON-PLAYER CHARACTER; ON-LINE GAMES; TRAINING DATA; VIDEO GAME;

ALGORITHMS; COMPUTATION THEORY; COMPUTER CONTROL SYSTEMS; CONTROLLERS; FUZZY SYSTEMS;

COMPUTATIONAL EFFICIENCY;

EID: 76349114716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2009.746     Document Type: Conference Paper

References (11)

1. Yannakakis, Giorgios N, AI in Computer Games: Generating Interesting Interactive Opponents by the use of Evolutionary Computation. PhD thesis, University of Edinburgh, 2005.
2. Georgios N. Yannakakis, John Levine, and John Hallam. An Evolutionary Approach for Interactive Computer Games. In Proceedings of the Congress on Evolutionary Computation (CEC-04), pages 986-993, June 2004.
3. Peter Bentley Article, "LETTING STONES GO UNTURNED", Feb, 2008.
4. Simon M. Lucas, Computational Intelligence and Games: Challenges and Opportunities, International Journal of Automation and Computing, Pages 45-57, January, 2008.
5. Peter Auer, Nicol'o Cesa-Bianchi, Yoav Freund, and Robert E. Schapire. Gambling in a rigged casino: the adversarial multi-armed bandit problem. In Proceedings of the 36th Annual Symposium on Foundations of Computer Science, pages 322-331. IEEE Computer Society Press, Los Alamitos, CA, 1995.
6. Multi-armed bandit, Wikipedia, Retrieved from http://en.wikipedia.org/ wiki/Multi-armed-bandit (22/08/08).
7. Peter Auer, Nicol'o Cesa-Bianchi, and Paul Fischer. "Finite-time analysis of the multi-armed bandit problem." Machine Learning, 47(2/3):235-256, 2002.
8. Levente Kocsis and Csaba Szepesv́ari. "Bandit based Monte Carlo planning." In 15th European Conference on Machine Learning (ECML), pages 282-293, 2006.
9. Suoju He, Fan Xie, Yi Wang, Jin Meng, Hongtao Chen, Zhiqing Liu, Qiliang Zhu. "Game Player Strategy Pattern Recognition and How UCT Algorithms Apply Pre-Knowledge of Player's Strategy to Improve Opponent AI." In the International Conference on Innovation in Software Engineering (ISE'2008), 2008. To appear.
10. Suoju He, Fan Xie, Yi Wang, Sai Luo, Yiwen Fu, Jiajian Yang, Zhiqing Liu, Qiliang Zhu. "To Create Adaptive Game Opponent by Using UCT." In the International Conference on Intelligent Agents, Web Technologies and Internet Commerce - IAWTIC'2008, 2008. To appear.
11. Mitchell, T. M. Machine learning. McGraw Hill, New York, 1997.