Autonomous Decentralized System for Constraint Satisfaction Problems Involving Continuous Variables and Fuzzy Constraints
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- KATAI Osamu
- Faculty of Engineering, Kyoto University
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- HORIUCHI Tadashi
- Faculty of Engineering, Kyoto University
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- MATSUBARA Shigeo
- Communication Science Lab., NTT Corp.
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- SAWARAGI Tetsuo
- Faculty of Engineering, Kyoto University
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- IWAI Sosuke
- Faculty of Science and Technology, Meijo University
Bibliographic Information
- Other Title
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- 連続変量・ファジィ制約を含む制約充足問題解決のための自律分散システム
- レンゾク ヘンリョウ ファジィ セイヤク オ フクム セイヤク ジュウソク モ
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Abstract
By introducing constraint-oriented notion of fuzziness and the principle of Synergetics, we propose a double-layered system architecture for constraint satisfaction problems involving continuous variables and fuzzy constraints whose upper layer is for structual part of the problems and the lower layer is for elastic part of the problems. The elastic part is treated by decentralized interactive activities among autonomous problem solving units. The structual part is treated by a centralized logic-based symbol processing unit which works concurrently and interactively with the autonomous units for the elastic part. Here decentralization and self-organization is based on Synergetics, and fuzziness is utilized for coding and decomposing complex constraints thus enabling this system architecture. This autonomous decentralized system architecture is then implemented on transputers by using Occam and is applied to design problems showing the effectiveness of our approach.
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 31 (5), 640-649, 1995
The Society of Instrument and Control Engineers
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Details
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- CRID
- 1390001204500219136
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- NII Article ID
- 10002484299
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 3607109
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed