Computer go: A research agenda

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1558, Issue , 1999, Pages 252-264

  Müller, Martin ^a  

^a ELECTROTECHNICAL LABORATORY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

COMPUTER CHESS; COMPUTER GO; CURRENT STRUCTURE; FUTURE PROSPECTS; RESEARCH AGENDA; TECHNICAL CHALLENGES;

COMPUTER GAMES;

EID: 84956865025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48957-6_17     Document Type: Conference Paper

References (25)

1. L.V. Allis. Searching for Solutions in Games and Artificial Intelligence. PhD thesis, University of Limburg, Maastricht, 1994.
2. I. Althöfer. A symbiosis of man and machine beats grandmaster Timoshchenko. ICCA Journal, 21(1):40-47, 1997.
3. D.B. Benson. Life in the game of Go. Information Sciences, 10:17-29, 1976. Reprinted in Computer Games, Levy, D.N.L. (Editor), Vol. II, pp. 203-213, Springer Verlag, New York 1988.
4. E. Berlekamp. The economist’s view of combinatorial games. In S. Levy, editor, Games of No Chance: Combinatorial Games at MSRI. Cambridge University Press, 1996.
5. ~cazenave/-papers.html.
6. M. Enzenberger. The integration of a priori knowledge into a Go playing neural network. cgl.ucsf.edu/go/Programs/NeuroGo.html, 1996.
7. D. Fotland. Knowledge representation in The Many Faces of Go. Report posted on internet newsgroup rec.games.go, 1993. Available by ftp from igs.nuri.net.
8. D. Fotland. Computer Go design issues. www.usgo.org/computer/text/-designissues.text, 1996.
9. S. Hu and P. Lehner. Multipurpose strategic planning in the game of Go. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(9):1048-1051, 1997.
10. K.Y. Kao. Sums of Hot and Tepid Combinatorial Games. PhD thesis, University of North Carolina at Charlotte, 1997.
11. A. Kierulf. Smart Game Board: a Workbench for Game-Playing Programs, with Go and Othello as Case Studies. PhD thesis, ETH Zurich, 1990.
12. T. Kojima. Automatic Acquisition of Go Knowledge from Game Records: Deductive and Evolutionary Approaches. PhD thesis, University of Tokyo, 1998.
13. T. Kojima, K. Ueda, and S. Nagano. An evolutionary algorithm extended by ecological analogy and its application to the game of go. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence(IJCAI-97), pages 684-689, 1997. www.brl.ntt.co.jp/people/kojima/research.
14. J. Kraszek. Heuristics in the life and death algorithm of a Go-playing program. Computer Go, 9:13-24, 1988.
15. S. McConnell. Rapid Development. Microsoft Press, 1996.
16. M. Müller. Game theories and Computer Go. In Proc. of the Go and Computer Science Workshop (GCSW’93), Sophia-Antipolis, 1993. INRIA.
17. M. Müller. Computer Go as a Sum of Local Games: An Application of Combinatorial Game Theory. PhD thesis, ETH Zürich, 1995. Diss.Nr.11.006.
18. M. Müller. American Go Association Computer Go Pages. www.usgo.org-/computer, 1997.
19. M. Müller. Generalized thermography: A new approach to evaluation in Computer Go. In H. Iida, editor, Proceedings of IJCAI-97 Workshop on Computer Games on Using Games as an Experimental Testbed for AI Research, pages 41-49, Nagoya, 1997.
20. M. Müller. Playing it safe: Recognizing secure territories in Computer Go by using static rules and search. In H. Matsubara, editor, Proceedings of the Game Programming Workshop in Japan ‘97, pages 80-86, Computer Shogi Association, Tokyo, Japan, 1997.
21. E. Pettersen. The Computer Go Ladder. cgl.ucsf.edu/go/ladder.html, 1994.
22. ~verhelst/chess/sources.html, 1997.
23. L. Weaver. COMPUTER-GO Mailing List Archive. www.hsc.fr/computer-go, 1998.
24. B. Wilcox. Chess is easy. Go is hard. Computer Game Developers Conference. home.sprynet.com/sprynet/vrmlpro/cgdc.html, 1997.
25. T. Wolf. Investigating tsumego problems with RisiKo. In D.N.L. Levy and D.F. Beal, editors, Heuristic Programming in Artificial Intelligence 2. Ellis Horwood, 1991.