我下载了一个没有署名的:)
找一下,找到了——
(载英文网站上看,大概是1997年的吧。上面还有很多论文)
Jay Burmeister 和 Janet Wiles
澳大利亚昆士兰大学心理学与信息技术学院
jay@it.uq.edu.au http://www.psy.uq.edu.au/~jay/
翻译:Lookingfor
参考文献
Allis, V.Searching for solutions in games and artificial intelligence. PhD thesis, University of Limburg, Maastricht, 1994.
Burmeister, J.&Wiles, J. The challenge of Go as a domain for AI research: a comparison between Go and chess. In proceedings of the Third Australian and New Zealand Conference on Intelligent Information System, pages 181-186, Perth, November 1995. IEEE Western Australia Section.
Chen, K. Group Identification in Computer Go. In D.N.L.Levy and B.F.Beal, (eds), Heuristic Programming in Aritificial Intelligence: the First Computer Olympiad, pages 195-210. Ellis Horwood, Chichester, 1989.
Chen, K. The move decision process of Go Intellect. In David Erbach, editor, Computer Go, 14: 9-17, 1990.
Chen, K. Attack and defence. In H. J. Van den Herik and L. V. Allis,(ed)s, Heuristic Programming in Artificial Intelligence 3 - The Third Computer Olympiad, pages 146-156. Ellis Horwood, Chichester, 1992.
Donnelly, P., Corr, P., and Crookes, D. Evolving Go playing strategy in neurl networks, 1994. Available on the Internet at ftp://igs.nuri.net/Go/comp/egpsnn.ps.z.
Fotland, D. Knowledge representation in The Many Faces of Go,1993. Available on the Internet at ftp://igs.nuri.net/Go/comp/mfg.z.
Lishtenstein, D. & Sipser, M. Go is polynomial-space hard. Journal of the ACM, 27(2):393-401, 1980.
Muller, M. Computer Go as a sum of local games: an application of combinatorial game theory. PhD thesis, Swiss Federal Institute of Technology Zurich, 1995.
Pell, B. Exploratory learning in the game of Go. In D. N. L. Levy and D.F. F. Beal,(eds), Heuristic Programming in Artificial Intelligence 2 - The Second Computer Olympiad, volume 2. Ellis Horwood, 1991
Robson, J. The complexity of Go. In R. E. A. Mason, (ed), Proceedings of the IFIP 9th World Computer Congress, pages 413-417, North Holland, 1983. IFIP, Elsevier Science Publishers.
Ryder, J. Heuristic analysis of large trees as generated in the game of Go. Phd thesis, Department of Computer Science, Standford University, 1971.
Saito, Y. & Yoshikawa, A. Go as a testbed for Cognitive Science studies. In IJCAI Workshop Proceedings Using Games as an Experimental Testbed for AI Research, 1997.
Schraudolph, N., Dayan, P. and Sejnowski, T. Temporal difference learning of position evaluation in the game of Go. In J. D. Cowan, G. Tesauro and J. Alspector, (eds), Advances in Neural Information Processing 6, pages 817-824. Morgan Kaufmann, San Francisco, 1994.
Zorbrist, A. Amodel of visual organization for game Go. In Proceedings of the Spring Joint Computer Conference, 34: 103-112, 1969.
Zorbrist, A. Feature extractions and representation for pattern recognition and the game of Go. PhD thesis, Graduate School of the University of Wisconsin, 1970.
[此贴子已经被作者于2003-8-20 15:06:59编辑过]
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