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]. || toc =Ikeda Laboratory= Kokolo Ikeda is head of the **Ikeda Laboratory** at JAIST. 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.
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 * [[image:KokoloIkeda.jpg width="140" height="168" link="http://www.jaist.ac.jp/profiles/info_e.php?profile_id=551"]] ||~  || **Kokolo Ikeda**,
 * Kokolo Ikeda ||~  ||^   ||


 * [[image:ikeda005.jpg link="http://www.jaist.ac.jp/is/english/research/list/ikeda.html"]] ||
 * [[image:ikeda004.jpg link="http://www.jaist.ac.jp/is/english/research/list/ikeda.html"]] ||
 * Overview of GA and learning ||

=Nomitan= 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.

=Selected Publications=

2000 ...

 * Kokolo Ikeda, [|Shigenobu Kobayashi] (**2000**). //[|GA Based on the UV-Structure Hypothesis and Its Application to JSP]//. [|PPSN 2000]
 * Kokolo Ikeda, [|Shigenobu Kobayashi] (**2002**). //[|Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs]//. [|PPSN 2002]
 * Kokolo Ikeda (**2005**). //Exemplar-based direct policy search with evolutionary optimization//. [|CEC 2005]

2010 ...

 * Kokolo Ikeda, [|Shigenobu Kobayashi], [|Hajime Kita] (**2010**). //[|Exemplar-Based Policy with Selectable Strategies and its Optimization Using GA]//. [|Transactions of the Japanese Society for Artificial Intelligence, Vol. 25, No. 2]
 * Junichi Hashimoto, Akihiro Kishimoto, Kazuki Yoshizoe, Kokolo Ikeda (**2011**). //[|Accelerated UCT and Its Application to Two-Player Games]//. Advances in Computer Games 13
 * Kokolo Ikeda, Simon Viennot, et al. (**2012**). //Adaptation of game AIs using Genetic Algorithm: Keeping variety and suitable strength//. [|ISIS 2012]
 * Kokolo Ikeda, [|Daisuke Tomizawa], Simon Viennot, [|Yuu Tanaka] (**2012**). //Playing PuyoPuyo: Two search algorithms for constructing chain and tactical heuristics//. [|CIG 2012]
 * Kokolo Ikeda, Simon Viennot (**2013**). //Production of various strategies and position control for Monte-Carlo Go - Entertaining human players//. [|CIG 2013]
 * Simon Viennot, Kokolo Ikeda (**2013**). //Efficiency of Static Knowledge Bias in Monte-Carlo Tree Search//. CG 2013
 * Kristian Spoerer, Toshihisa Okaneya, Kokolo Ikeda, Hiroyuki Iida (**2013**). //Further Investigations of 3-Member Simple Majority Voting for Chess//. CG 2013

2015 ...

 * Kokolo Ikeda, Takanari Shishido, Simon Viennot (**2015**). //Machine-Learning of Shape Names for the Game of Go//. Advances in Computer Games 14

=External Links=
 * [|JAIST School of Information Science - Kokolo Ikeda - Associate Professor]
 * [|Entertainment Informatics / Ikeda Laboratory | JAIST School of Information Science]
 * [|Kokolo Ikeda's ICGA Tournaments]

=References= =What links here?= include page="Kokolo Ikeda" component="backlinks" limit="60"
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