Presentation | 2000/1/13 A study for shogi on learning to choose a candidate move Michiaki Kaneda, Tomoharu Nagao, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The expert of shogi decides next-move by skillful combination conscious thinking called point reading and intuitive thinking called selection of a candidate move. Computer shogi can evaluate over 100,000 positions. However, about narrowing down of a candidate move, it is inferior to an expert. If this point can be brought close to a expert, it will be thought that computer shogi is able to exceed an expert. Since the experiment which measures construction of the system which aimed at acquisition of the intuition which can choose a candidate move suitable by standing on the position that intuition can be regarded as the bias based on common sense, and using a data base, and its performance was performed, it reports. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | game / shogi |
Paper # | AI99-85 |
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Conference Information | |
Committee | AI |
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Conference Date | 2000/1/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study for shogi on learning to choose a candidate move |
Sub Title (in English) | |
Keyword(1) | game |
Keyword(2) | shogi |
1st Author's Name | Michiaki Kaneda |
1st Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology() |
2nd Author's Name | Tomoharu Nagao |
2nd Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology |
Date | 2000/1/13 |
Paper # | AI99-85 |
Volume (vol) | vol.99 |
Number (no) | 534 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |