| Project/Area Number |
06558047
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 試験 |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo (1996)
Kyushu University (1994-1995) |
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Principal Investigator |
MIYANO Satoru The University of Tokyo, The Institute of Medical Science Professor, 医科学研究所, 教授 (50128104)
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| Co-Investigator(Kenkyū-buntansha) |
SHIMOZONO Shinichi Kyushu Institute of Technology, Department of Artificial Intelligence, Associate, 情報工学部, 助教授 (70243988)
SHINOHARA Ayumi Kyushu University, Departement of Informatics, Associate Professor, システム情報科学研究科, 助教授 (00226151)
SHOUDAI Takayoshi Kyushu University, Departement of Informatics, Associate Professor, システム情報科学研究科, 助教授 (50226304)
SHINOHARA Takeshi Kyushu Institute of Technology, Department of Artifical Intelligence, Professor, 情報工学部, 教授 (60154225)
ARIKAWA Setsuo Kyushu University, Departement of Informatics, Professor, システム情報科学研究科, 教授 (40037221)
内田 智之 広島市立大学, 情報科学部, 助教授 (70264934)
山本 章博 北大, 工学部, 助教授 (30230535)
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| Project Period (FY) |
1994 – 1996
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| Project Status |
Completed (Fiscal Year 1996)
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| Budget Amount *help |
¥17,300,000 (Direct Cost: ¥17,300,000)
Fiscal Year 1996: ¥4,000,000 (Direct Cost: ¥4,000,000)
Fiscal Year 1995: ¥6,300,000 (Direct Cost: ¥6,300,000)
Fiscal Year 1994: ¥7,000,000 (Direct Cost: ¥7,000,000)
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| Keywords | knowledge acquisition / learning algorithm / parallel processing / 並列計算 |
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| Research Abstract |
The ability of knowledge acquision has strong effects on the developments of various scientific and industrial activities. The quality of the knowledge and the efficiency of the knowledge acquisition procedure are keys to these activities. A group or society with the such knowledge acquisition ability in information processing activities may be promised a big advance.
The knowledge acquision activity is regarded as an activity which can be done by only human beings. Recently, however, computational learning technologies and artificial intelligence is realizing information systems which can play the knowledge acquisition activity instead of human beings. This research project has attained the following items by the above technologies.
1. Paradigm of parallel knowledge acquisition.
2. Design and development of a parallel knowledge acquisition system based on the above paradigm.
With this system, we have made several computational experiments on knowledge acqusition, especially for DNA and amino acid sequences. The results were very successful. It is scheduled that this system will be open to publich via Human Genome Center of the University of Tokyo.
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