| Project/Area Number |
15560347
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
System engineering
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| Research Institution | Kobe University |
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Principal Investigator |
TAMAKI Hisashi Kobe University, Department of Computer and Systems Engineering, Associate Professor, 工学部, 助教授 (10227267)
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| Project Period (FY) |
2003 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥4,300,000 (Direct Cost: ¥4,300,000)
Fiscal Year 2004: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2003: ¥2,900,000 (Direct Cost: ¥2,900,000)
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| Keywords | Emergent Computation / Interaction / Autonomous Decentralized System / Optimization / Decision-making / Simulation / 遺伝的機械学習 / 進化的計算 |
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| Research Abstract |
When considering an engineering problem-solving in large-scaled and complicated systems, an emergent approach containing bi-directional interactions, which enables us to extract a decision-making model in an adaptive or an interactive manner. In this research, aiming at designing a methodology in which a modeling process is embedded in a solution process, an interactive information field as well as an emergent computing method have been (re)constructed. The key points are as follows.
(1)Design and implementation of an interactive information field - an hierarchical autonomous decentralized framework in which an interaction among sub-models are explicitly considered has been designed, and an prototype of a simulation and decision-making model based on the framework has been investigated.
(2)Reconstruction of emergent computing method - a simulation-based method for acquiring and adjusting decision-making rules has been designed, based on genetics-based machine learning techniques.
(3)Coevolution of problem-solving model - a decision-making and learning method has been developed based on such concepts as self-organization and coevolution.
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