Instructor
Name GRIMBERGEN, Reijer

Ph.D. (Cognitive Science)
Associate Professor
Affiliation Department of Informatics
Faculty of Engineering
Yamagata University
Specialization Cognitive Science
Human problem solving
Game programming
Class Outline Games have been an important test environment in Artificial Intelligence since the 1950s. The most notable success has been the 1997 victory of IBM's "Deep Blue" chess computer against World Champion Gary Kasparov. The next battle between human and computers will most likely take place in the Asian games xiang qi (Chinese chess), shogi (Japanese chess) or Go. At Yamagata University, we are doing research using the game of shogi. It is expected that a shogi computer will beat the strongest professional shogi player in less than ten years. In these lectures, first the basic methods used in game programs will be explained. Then, a comparison between chess and its Asian cousins will be made, followed by an explanation of the new methods needed to challenge the top human players in shogi.
Message to Students The techniques used in game programming are not limited to this domain and neither are the techniques used in shogi programming limited to shogi. This course will show what is needed to challenge human expertise with computer models, using a very competitive domain (game programming is also dubbed "the Formula 1 of Artificial Intelligence"). Also, the explanations will be general enough such that knowledge of the rules of the games used is not necessary. People with an interest in games, an interest in the competition between man and machine or an interest in modeling human thinking with computers are invited to follow this course.
Theme 1.Game programming methods (1): Minimax search and alpha-beta pruning
2.Game programming methods (2): Search optimizations
3.Computational comparison between different games
4.Special techniques for shogi (1): Mate search
5.Special techniques for shogi (2): Realization probability search and the Yamagata University challenge
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