Kokolo Ikeda

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Kokolo Ikeda [1]

Kokolo Ikeda,
a Japanese computer scientist, games researcher and associate professor at Japan Advanced Institute of Science and Technology. He holds a M.Sc. and Ph.D from Tokyo Institute of Technology in 2000 and 2003 respectively. His research interests include game informatics, Monte-Carlo tree search, evolutionary algorithm, machine learning, and agent-based simulation.

Ikeda Laboratory

Kokolo Ikeda is head of the Ikeda Laboratory at JAIST [2] . Their goal is not only to make strong AI players for various games, but "realistic", "enjoyable" and/or "educational" agents. In addition, genetic algorithm, multi-objective optimization and multi-agent simulation are intensively studied.

Overview of GA and learning [3]


As computer Go programmer, Kokolo Ikeda is co-author of the Go playing program Nomitan, an UCT based original program using an evaluation function optimized to game records of professional players. Nomitan won three times Bronze at Yokohama 2013, in 9x9, 13x13 and 19x19 Go [4].

Selected Publications


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External Links


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