New strategies for complete game trees

Authors:
David J. Thuente;Rhys Price Jones
Affiliations:
Indiana University-Purdue University at Fort Wayne, Fort Wayne, Indiana;Oberlin College, Oberlin, Ohio
Venue:
CSC '89 Proceedings of the 17th conference on ACM Annual Computer Science Conference
Year:
1989

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Abstract

Game playing has a long and rich history in computer science and more particularly artificial intelligence. It has served as both a source of problems for and as applications of AI techniques, see for example [2, p.113]. There have been many papers published on various heuristics, evaluation functions and search strategies for game playing.