In 2014, along with David W. King, Gilbert L. Peterson published on the game of Epaminondas in the ICGA Journal[3]. The paper presents strategies and heuristics used in a MinimaxAlpha-Beta agent that plays at a novice level. Furthermore, it defines the state-space and game-tree complexities for Epaminondas. A new version of MCTS is implemented that uses Alpha-Beta during node selection to guide MCTS to more promising areas of the search tree.
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Gilbert L. Peterson,
an American computer scientist and professor at department of electrical and computer engineering, Air Force Institute of Technology, Wright-Patterson Air Force Base, Dayton, Ohio. He received a BS degree in Architecture, and an M.Sc and Ph.D. (2001) in CS at the University of Texas at Arlington [1]. His research interests include applications of artificial intelligence and statistical machine learning, digital forensics, and autonomous vehicles [2].
Epaminondas
In 2014, along with David W. King, Gilbert L. Peterson published on the game of Epaminondas in the ICGA Journal [3]. The paper presents strategies and heuristics used in a Minimax Alpha-Beta agent that plays at a novice level. Furthermore, it defines the state-space and game-tree complexities for Epaminondas. A new version of MCTS is implemented that uses Alpha-Beta during node selection to guide MCTS to more promising areas of the search tree.Selected Publications
[4]External Links
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