| Project/Area Number |
10044172
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| Research Category |
Grant-in-Aid for Scientific Research (B).
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | IWATE PREFECTURAL UNIVERSITY |
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Principal Investigator |
HAMID Issam,a. Iwate Prefectural University, Faculty of Software and Information Science, Prof., ソフトウェア情報学部, 教授 (30244990)
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| Co-Investigator(Kenkyū-buntansha) |
HORIGUCHI Susumu Japan Advanced Institute of Science and Technology, Prof., 大学・情報科学研究科, 教授 (60143012)
SHIRATOSHI Norio Tohoku University, Research Institute of Electrical Communication, Prof., 電気通信研究所, 教授 (60111316)
SAQUIーSANNES ピエール ドゥ 航空機製造高等国立学院, 計算機科学学科(トゥルーズ、フランス), 教授
KANGASSALO H テンペレ(Tampere)大学, コンピュータ学科(フィンランド), 教授
GOTZHEIN Rei カイザーローテルン大学, 情報工学学科(ドイツ), 教授
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| Project Period (FY) |
1998 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥4,700,000 (Direct Cost: ¥4,700,000)
Fiscal Year 1999: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1998: ¥2,300,000 (Direct Cost: ¥2,300,000)
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| Keywords | Distributed Systems / Dynamic Software Architecture / Object-Oriented Design / Evolving Systems / Adaptable Software / multi-agent system / programming language / Software Development / 型変換 / オブジェクト指向仕様記述 / モジジュール互換性 |
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| Research Abstract |
Our goal to design intelligent software concerns to coordinate these multi-agents in order to get the maximum efficiency.
Reuse of business components is a key to producing software that adapts as the business adapts. Classical Artificial Intelligence (AI) particularly concerned with closed systems that have only a limited interaction with the environment. Although their internal knowledge provides AI systems with knowledge of their environment, they are not capable of directly interacting with it. Rather, a specially trained user provides the system with knowledge about the environment, often using a symbology that only experts can understand. Experts are also, required to interpret and use the solution developed by the system. Consequently, the interaction between AI system and the environment, that at least can be described as indirect communication, is performed exclusively in the form of a human expert. In contrast, agents must be able to communicate and interact directly with their environment. Because they are frequently used in very dynamic environments, they must be capable of detecting changes directly and with a minimum of delay. A direct communication with other agents is also required for the solution of complex distributed problems. We model a multi-agent system as agents executing their programs in an environment. Execution of programs can bring about changes both in the environment and in agents. One agent's program step may interfere with other agents' program step, and the environment may intervene program execution and change the outcome. A program step can be an agent action. The coordination deals with this interaction.
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