ABSTRACT
Machine Learning in games and other areas of computer science that use games to analyze problems are hampered by the lack of a common language to define games. This paper presents the development of a general game language called RGL.
- Condon, A. Computational Models of Games. MIT Press, Cambridge MA, 1989.Google Scholar
- Edwards, S. Portable Game Notation Specification and Implementation Guide, 2002.12.22, {http://folk.uio.no/andreio/php/pgnspec.pdf}Google Scholar
- Furnkranz, J. Machine Learning in Games: A Survey, Machines That Learn to Play Games, chapter 2, pp. 11--59, 2001 Google ScholarDigital Library
- Kaiser, D. A Generic Game Playing Machine. Master's thesis, Florida International University, Miami, FL, 2000.Google Scholar
- Kierulf, A. Smart Game Board and Go Explorer: A Study in Software and Knowledge Engineering. Communications of the ACM Volume 33, Issue 2 (February 1990) Google ScholarDigital Library
- Orwant, J. EGGG: Automated programming for game generation. IBM Systems Journal, 39(3/4): 782--794, 2000. Google ScholarDigital Library
- Pell. B. A strategic metagame player for general chess-like games. Computational Intelligence, Volume 11, Number 4, 1995.Google Scholar
- Romein, J. Multigame - An environment for Distributed Game-Tree Search. PhD thesis, Faculty of Sciences, Department of Mathematics and Computer Science, Vrije Universiteit, Amsterdame, the Netherlands, January, 2001.Google Scholar
Index Terms
- The structure of games
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