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Created page with "'''Home * People * Kunihito Hoki''' FILE:kunihito_hoki.jpg|border|right|thumb|link=http://tedxkidschiyoda.com/speakers/243| Kunihito Hoki <ref>[http://te..."
'''[[Main Page|Home]] * [[People]] * Kunihito Hoki'''
[[FILE:kunihito_hoki.jpg|border|right|thumb|link=http://tedxkidschiyoda.com/speakers/243| Kunihito Hoki <ref>[http://tedxkidschiyoda.com/speakers/243 保木 邦仁 / Kunihito Hoki – TEDxKids@Chiyoda 2012]</ref>]]
'''Kunihito Hoki''',<br/>
a Japanese chemist, computer scientist, and since 2010 Assistant Professor at the [https://en.wikipedia.org/wiki/University_of_Electro-Communications University of Electro-Communications]. Kunihito Hoti received a [https://en.wikipedia.org/wiki/Doctor_of_Science D.Sc.] in [https://en.wikipedia.org/wiki/Chemistry Chemistry] from [https://en.wikipedia.org/wiki/Tohoku_University Tohoku University], and has been a research fellow at the [[University of Toronto]] as well as Tohoku University, where he then became Assistant Professor. As [[Shogi]] programmer, he is author of the strong Shogi program [[Bonanza]], famous for its [[Supervised Learning|supervised]] [[Automated Tuning#MoveAdaption|move adaption]] [[Automated Tuning|tuning method]] called [[Minimax Tree Optimization]] (MMTO), also dubbed the '''Bonanza-Method'''. Kunihito Hoki further researched and published on [[Monte-Carlo Tree Search]].
=Selected Publications=
<ref>[http://www.informatik.uni-trier.de/~ley/pers/hd/h/Hoki:Kunihito.html dblp: Kunihito Hoki]</ref>
==2005 ...==
* [[Kunihito Hoki]] ('''2006'''). ''Optimal control of minimax search result to learn positional evaluation''. [[Conferences#GPW|11th Game Programming Workshop]] (Japanese)
==2010 ...==
* [[Takuya Obata]], [[Takuya Sugiyama]], [[Kunihito Hoki]], [[Takeshi Ito]] ('''2010'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-642-17928-0_15 Consultation Algorithm for Computer Shogi: Move Decisions by Majority]''. [[CG 2010]]
* [[Takuya Sugiyama]], [[Takuya Obata]], [[Kunihito Hoki]], [[Takeshi Ito]] ('''2010'''). ''[http://link.springer.com/content/pdf/10.1007%2F978-3-642-17928-0_16 Optimistic Selection Rule Better Than Majority Voting System]''. [[CG 2010]]
* [[Tomoyuki Kaneko]], [[Kunihito Hoki]] ('''2011'''). ''Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes''. [[Advances in Computer Games 13]]
* [[Kunihito Hoki]], [[Tomoyuki Kaneko]] ('''2011'''). ''The Global Landscape of Objective Functions for the Optimization of Shogi Piece Values with a Game-Tree Search''. [[Advances in Computer Games 13]]
* [[Kunihito Hoki]], [[Tomoyuki Kaneko]], [[Akihiro Kishimoto]], [[Takeshi Ito]] ('''2013'''). ''Parallel Dovetailing and its Application to Depth-First Proof-Number Search''. [[ICGA Journal#36_1|ICGA Journal, Vol. 36, No. 1]] <ref>[https://en.wikipedia.org/wiki/Dovetailing_%28computer_science%29 Dovetailing (computer science) from Wikipedia]</ref>
* [[Kunihito Hoki]], [[Tomoyuki Kaneko]] ('''2014'''). ''[https://www.jair.org/papers/paper4217.html Large-Scale Optimization for Evaluation Functions with Minimax Search]''. [https://www.jair.org/vol/vol49.html JAIR Vol. 49], [https://www.jair.org/media/4217/live-4217-7792-jair.pdf pdf] » [[Automated Tuning]], [[Shogi]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=55084 MMTO for evaluation learning] by [[Jon Dart]], [[CCC]], January 25, 2015</ref>
* [[Nobuo Araki]], [[Masakazu Muramatsu]], [[Kunihito Hoki]], [[Satoshi Takahashi]] ('''2014'''). ''[https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8263 Monte-Carlo Simulation Adjusting]''. [[Conferences#AAAI-2014|AAAI-2014]]
==2015 ...==
* [[Nobuo Araki]], [[Kunihito Hoki]], [[Satoshi Takahashi]], [[Masakazu Muramatsu]] ('''2017'''). ''[https://content.iospress.com/articles/icga-journal/icg036 Improved simulation adjusting]''. [[ICGA Journal#39_34|ICGA Journal, Vol. 39, Nos. 3-4]]
=External Links=
* [https://www.game-ai-forum.org/icga-tournaments/person.php?id=205 Kunihito Hoki's ICGA Tournaments]
* [http://tedxkidschiyoda.com/speakers/243 保木 邦仁 / Kunihito Hoki – TEDxKids@Chiyoda 2012]
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:kunihito_hoki.jpg|border|right|thumb|link=http://tedxkidschiyoda.com/speakers/243| Kunihito Hoki <ref>[http://tedxkidschiyoda.com/speakers/243 保木 邦仁 / Kunihito Hoki – TEDxKids@Chiyoda 2012]</ref>]]
'''Kunihito Hoki''',<br/>
a Japanese chemist, computer scientist, and since 2010 Assistant Professor at the [https://en.wikipedia.org/wiki/University_of_Electro-Communications University of Electro-Communications]. Kunihito Hoti received a [https://en.wikipedia.org/wiki/Doctor_of_Science D.Sc.] in [https://en.wikipedia.org/wiki/Chemistry Chemistry] from [https://en.wikipedia.org/wiki/Tohoku_University Tohoku University], and has been a research fellow at the [[University of Toronto]] as well as Tohoku University, where he then became Assistant Professor. As [[Shogi]] programmer, he is author of the strong Shogi program [[Bonanza]], famous for its [[Supervised Learning|supervised]] [[Automated Tuning#MoveAdaption|move adaption]] [[Automated Tuning|tuning method]] called [[Minimax Tree Optimization]] (MMTO), also dubbed the '''Bonanza-Method'''. Kunihito Hoki further researched and published on [[Monte-Carlo Tree Search]].
=Selected Publications=
<ref>[http://www.informatik.uni-trier.de/~ley/pers/hd/h/Hoki:Kunihito.html dblp: Kunihito Hoki]</ref>
==2005 ...==
* [[Kunihito Hoki]] ('''2006'''). ''Optimal control of minimax search result to learn positional evaluation''. [[Conferences#GPW|11th Game Programming Workshop]] (Japanese)
==2010 ...==
* [[Takuya Obata]], [[Takuya Sugiyama]], [[Kunihito Hoki]], [[Takeshi Ito]] ('''2010'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-642-17928-0_15 Consultation Algorithm for Computer Shogi: Move Decisions by Majority]''. [[CG 2010]]
* [[Takuya Sugiyama]], [[Takuya Obata]], [[Kunihito Hoki]], [[Takeshi Ito]] ('''2010'''). ''[http://link.springer.com/content/pdf/10.1007%2F978-3-642-17928-0_16 Optimistic Selection Rule Better Than Majority Voting System]''. [[CG 2010]]
* [[Tomoyuki Kaneko]], [[Kunihito Hoki]] ('''2011'''). ''Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes''. [[Advances in Computer Games 13]]
* [[Kunihito Hoki]], [[Tomoyuki Kaneko]] ('''2011'''). ''The Global Landscape of Objective Functions for the Optimization of Shogi Piece Values with a Game-Tree Search''. [[Advances in Computer Games 13]]
* [[Kunihito Hoki]], [[Tomoyuki Kaneko]], [[Akihiro Kishimoto]], [[Takeshi Ito]] ('''2013'''). ''Parallel Dovetailing and its Application to Depth-First Proof-Number Search''. [[ICGA Journal#36_1|ICGA Journal, Vol. 36, No. 1]] <ref>[https://en.wikipedia.org/wiki/Dovetailing_%28computer_science%29 Dovetailing (computer science) from Wikipedia]</ref>
* [[Kunihito Hoki]], [[Tomoyuki Kaneko]] ('''2014'''). ''[https://www.jair.org/papers/paper4217.html Large-Scale Optimization for Evaluation Functions with Minimax Search]''. [https://www.jair.org/vol/vol49.html JAIR Vol. 49], [https://www.jair.org/media/4217/live-4217-7792-jair.pdf pdf] » [[Automated Tuning]], [[Shogi]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=55084 MMTO for evaluation learning] by [[Jon Dart]], [[CCC]], January 25, 2015</ref>
* [[Nobuo Araki]], [[Masakazu Muramatsu]], [[Kunihito Hoki]], [[Satoshi Takahashi]] ('''2014'''). ''[https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8263 Monte-Carlo Simulation Adjusting]''. [[Conferences#AAAI-2014|AAAI-2014]]
==2015 ...==
* [[Nobuo Araki]], [[Kunihito Hoki]], [[Satoshi Takahashi]], [[Masakazu Muramatsu]] ('''2017'''). ''[https://content.iospress.com/articles/icga-journal/icg036 Improved simulation adjusting]''. [[ICGA Journal#39_34|ICGA Journal, Vol. 39, Nos. 3-4]]
=External Links=
* [https://www.game-ai-forum.org/icga-tournaments/person.php?id=205 Kunihito Hoki's ICGA Tournaments]
* [http://tedxkidschiyoda.com/speakers/243 保木 邦仁 / Kunihito Hoki – TEDxKids@Chiyoda 2012]
=References=
<references />
'''[[People|Up one level]]'''
