Presentation 1998/3/20
Adaptive Searching for Problem Solving Sequence Based on a Working Hypothesis
Kenzo Mori, Keisuke Kameyama, Yukio Kosugi,
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Abstract(in English) In engineering field, there are a lot of problems whose solutions consist of some primitive works, recognizing codes or images, making working plans or route finding tasks and so on. When humanbeing faces such problems, he can make good use of his experience he got before to solve the current problems. This rule of thumb in solving problems can be a foundation of constructing a system which deals with various searching solution problems. There is few paper which takes such an approach, however. So we discuss about new systems that can adaptively search for solutions according to the input problem by modeling humanbeing's strategies in solving problems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) hypothesis / reward / operation sequer
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Committee NC
Conference Date 1998/3/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Adaptive Searching for Problem Solving Sequence Based on a Working Hypothesis
Sub Title (in English)
Keyword(1) hypothesis
Keyword(2) reward
Keyword(3) operation sequer
1st Author's Name Kenzo Mori
1st Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Keisuke Kameyama
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Yukio Kosugi
3rd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 1998/3/20
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Volume (vol) vol.97
Number (no) 624
Page pp.pp.-
#Pages 8
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