A novel ontology for computer go knowledge management

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2009, Pages 1056-1061

  Lee, Chang Shing ^a   Wang, Mei Hui ^a   Hong, Tzung Pei ^b   Chaslot, Guillaume ^c   Hoock, Jean Baptiste ^d   Rimmel, Arpad ^d   Teytaud, Olivier ^d   Kuo, Yau Hwang ^e  

^a NATIONAL UNIVERSITY OF TAINAN   (Taiwan)

^b NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^c MAASTRICHT UNIVERSITY   (Netherlands)

^d INRIA SACLAY   (France)

^e NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SYSTEMS; INTERACTIVE COMPUTER GRAPHICS; KNOWLEDGE MANAGEMENT; ONTOLOGY;

CHINESE CHESS; COMPUTER CHESS; COMPUTER GO; EXPERT RULE; GAME RECORDS; HUMAN KNOWLEDGE; ON-LINE GAMES; ONTOLOGY MODEL;

COMPUTER GAMES;

EID: 71249135152     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2009.5277222     Document Type: Conference Paper

References (20)

1. S. M. Lucas and G. Kendall, Evolutionary computation and games, IEEE Computational Intelligence Magazine, vol. 1, no. 1, pp. 10-18, 2006.
2. E. van der Werf, J. van den Herik, and J. Uiterwijk, "Solving Go on small boards," International Computer Games Association (ICGA) Journal, vol. 26, no. 2, pp. 92-107, 2003.
3. B. Bouzy and T. Cazenave, "Computer Go: an AI-oriented survey," Artificial Intelligence Journal, vol. 132, no. 1, pp. 39-103, 2001.
4. M. Muller, "Computer Go," Artificial Intelligence, vol. 134, no. 1-2, pp. 145-179, 2002.
5. B. Ghosh and J. E. Scott, "Comparing knowledge management in health-care and technical support organizations," IEEE Transactions on Information Technology in Biomedicine, vol. 9, no. 2, pp. 162-168, 2005.
6. P. Warren, "Knowledge management and the semantic web: from scenario to technology," IEEE Intelligent Systems, vol. 21, no. 1, pp. 53-59, 2006.
7. M. Reformat and C. Ly, "Ontological approach to development of computing with words based systems," International Journal of Approximate Reasoning, vol. 50, no. 1, pp. 72-91, 2009.
8. Q. T. Tho, S. C. Hui, A. C. M. Fong, and T. H. Cao, "Automatic fuzzy ontology generation for semantic web," IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 6, pp. 842-856, 2006.
9. C. S. Lee, Z. W. Jian, and L. K. Huang, "A fuzzy ontology and its application to news summarization," IEEE Transactions on Systems, Man and Cybernetics Part B, vol. 35, no. 5, pp. 859-880, 2005.
10. C. S. Lee, M. H. Wang, and J. J. Chen, "Ontology-based intelligent decision support agent for CMMI project monitoring and control," International Journal of Approximate Reasoning, vol. 48, no. 1, pp. 62-76, 2008.
11. B. Brugmann, Monte Carlo Go, 1993. Online at http://www.ideanest.com/ vegos/MonteCarloGo.pdf.
12. G. Chaslot, M. Winands, J. Uiterwijk, H. J. van den Herik, and B. Bouzy, "Progressive strategies for Monte-Carlo tree search," in Proceedings of the 10th Joint Conference on Information Sciences (JCIS 2007), Salt Lake City, USA, 2007, pp. 655-661.
13. L. Kocsis and C. Szepesvari, "Bandit-based Monte-Carlo planning," Lecture Notes in Computer Science, vol. 4212, pp. 282-293, 2006.
14. T. Anantharaman, M. S. Campbell, and F. Hsu, "Singular extensions: adding selectivity to brute-force searching," Artificial Intelligence, vol. 43, no. 1, pp. 99-109, 1990.
15. T. Cazenave, "Metaprogramming forced moves," in Proceedings of the 13th European Conference on Artificial Intelligence (ECAI '98), Brighton, UK, 1998, pp. 645-649.
16. L. Chatriot, S. Gelly, J. B. Hoock, J. Perez, A. Rimmel, and O. Teytaud, "Including expert knowledge in bandit-based Monte-Carlo planning with application to Computer Go," The 10th European Workshop on Reinforcement Learning (EWRL08), Lille, France, 2008.
17. S. Gelly and S. Silver, "Combining online and offline knowledge in UCT," in Proceedings of the 24th International Conference on Machine Learning (ICML 2007), New York, USA, 2007, pp. 273-280.
18. R. Coulom, "Efficient selectivity and backup operators in Monte-Carlo tree search," in Proceedings of the 5th International Conference on Computers and Games (CG 2006), Turin, Italy, 2006, pp. 72-83.
19. st European Workshop on bio-inspired Algorithms in Games (EvoGAMES), Tubingen, Germany, 2009.
20. C. S. Lee, M. H. Wang, C. Chaslot, J. B. Hoock, A. Rimmel, O. Teytaud, S. R. Tsai, S. C. Hsu, and T. P. Hong, "The computational intelligence of MoGo revealed in Taiwan's computer Go tournaments," IEEE Transactions on Computational Intelligence and AI in Games, 2009, DOI: 10.1109/TCIAIG.2009. 2018703, to appear.