Enhancement method of game AI based on postmortem
| Project/Area Number |
26730181
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Entertainment and game informatics 1
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| Research Institution | The University of Tokyo (2016)
Hokkaido University (2014-2015) |
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Principal Investigator |
TAKEUCHI Shogo 東京大学, 大学院新領域創成科学研究科, 特任研究員 (40625258)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 感想戦 / 協調 / ゲーム情報学 |
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| Outline of Final Research Achievements |
In games such as shogi and game of go, human players discusses about their play for improving their skill. Such a discussion is called "Kanso-sen" (postmortem) and game AIs does not discuss about theire play. In this research, we focused on the "Kanso-sen" and try to improve AIs' performance by discussion between multiple game AIs.
One of the main achievements of this research is to propose a method for giving advice to another game AI to a certain game AI and to show improvement in cooperation by it.
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Report
(4 results)
Research Products
(5 results)
