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Kunihito Hoki,
a Japanese chemist, computer scientist, and since 2010 Assistant Professor at the University of Electro-Communications. Kunihito Hoti received a D.Sc. in Chemistry from Tohoku University, and has been a research fellow at the University of Toronto as well as Tohoku University, where he then became Assistant Professor [1]. As Shogi programmer, he is author of the strong Shogi program Bonanza, famous for its supervised move adaption tuning method called Minimax Tree Optimization (MMTO), also dubbed the Bonanza-Method.
Kunihito Hoki [2]

Selected Publications

[3]

External Links


References

  1. ^ Recent advances in computer shogi and the Bonanza program | Department of Computing Science, University of Alberta, February 3, 2012
  2. ^ 保木 邦仁 / Kunihito Hoki – TEDxKids@Chiyoda 2012
  3. ^ dblp: Kunihito Hoki
  4. ^ Dovetailing (computer science) from Wikipedia
  5. ^ MMTO for evaluation learning by Jon Dart, CCC, January 25, 2015

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