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Titlebook: Coordination of Distributed Problem Solvers; Edmund H. Durfee Book 1988 Kluwer Academic Publishers, Boston 1988 agents.artificial intellig

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書目名稱Coordination of Distributed Problem Solvers
編輯Edmund H. Durfee
視頻videohttp://file.papertrans.cn/239/238085/238085.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Coordination of Distributed Problem Solvers;  Edmund H. Durfee Book 1988 Kluwer Academic Publishers, Boston 1988 agents.artificial intellig
描述As artificial intelligence (AI) is applied to more complex problems and a wider set of applications, the ability to take advantage of the computational power of distributed and parallel hardware architectures and to match these architec- tures with the inherent distributed aspects of applications (spatial, functional, or temporal) has become an important research issue. Out of these research concerns, an AI subdiscipline called distributed problem solving has emerged. Distributed problem-solving systems are broadly defined as loosely-coupled, distributed networks of semi-autonomous problem-solving agents that perform sophisticated problem solving and cooperatively interact to solve problems. N odes operate asynchronously and in parallel with limited internode commu- nication. Limited internode communication stems from either inherent band- width limitations of the communication medium or from the high computa- tional cost of packaging and assimilating information to be sent and received among agents. Structuring network problem solving to deal with consequences oflimited communication-the lack of a global view and the possibility that the individual agents may not have all the info
出版日期Book 1988
關(guān)鍵詞agents; artificial intelligence; autonom; communication; control; intelligence; knowledge; problem solving;
版次1
doihttps://doi.org/10.1007/978-1-4613-1699-2
isbn_softcover978-1-4612-8958-6
isbn_ebook978-1-4613-1699-2Series ISSN 0893-3405
issn_series 0893-3405
copyrightKluwer Academic Publishers, Boston 1988
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Distributed Problem Solving and the DVMT,o solve a single problem by individually solving interacting subproblems and integrating their subproblem solutions into an overall solution. Because each node may have a limited local view of the overall problem, nodes must share subproblem solutions; cooperation thus requires intelligent local con
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Identifying Local Goals Through Clustering,pecific attributes of a more well-defined goal to constrain the possible steps leading up to that goal: it can back-propagate the desired characteristics of the goal to formulate a specific sequence of subgoals leading to the solution, and in turn can use these well-defined subgoals as context for d
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Planning Local Problem Solving,ainty about which goals to pursue. Some of these goals might represent alternative and conflicting solutions, and others, on further investigation, might prove to be incompatible with the problem information. By taking actions in pursuit of the goals, the problem solver can work toward acceptable so
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