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Titlebook: Distributed Constraint Satisfaction; Foundations of Coope Makoto Yokoo Book 2001 Springer-Verlag Berlin Heidelberg 2001 Agent Cooperation.A

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發(fā)表于 2025-3-21 19:18:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Distributed Constraint Satisfaction
副標(biāo)題Foundations of Coope
編輯Makoto Yokoo
視頻videohttp://file.papertrans.cn/282/281870/281870.mp4
概述The book adapts results from classical constraint satisfaction for multi-agent systems and consolidates recent research and presents new results in a consistent way.Includes supplementary material:
叢書(shū)名稱(chēng)Springer Series on Agent Technology
圖書(shū)封面Titlebook: Distributed Constraint Satisfaction; Foundations of Coope Makoto Yokoo Book 2001 Springer-Verlag Berlin Heidelberg 2001 Agent Cooperation.A
描述When multiple agents are in a shared environment, there usually exist con- straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agent constraints. More specifically, a distributed CSP is a constraint satisfaction problem (CSP) in which multiple agents are involved. A constraint satisfaction problem is a problem in which the goal is to find a consistent assignment of values to variables. Even though the definition of a CSP is very simple, a surprisingly wide variety of artificial intelligence (AI) problems can be formalized as CSPs. Therefore, the research on CSPs has a long and distinguished history in AI (Mackworth 1992; Dechter 1992; Tsang 1993; Kumar 1992). A distributed CSP is a CSP in which variables and constraints are distributed among multiple autonomous agents. Various application problems in Multi-agent Systems (MAS) that are concerned with finding a consistent combination of agent actions can he formalized as dis- tributed CSPs. Therefore, we can consid(~r distributed CSPs as a general framework for MAS,
出版日期Book 2001
關(guān)鍵詞Agent Cooperation; Agent Techology; Constraint Satisfaction; Distributed Artificial Intelligence; Distri
版次1
doihttps://doi.org/10.1007/978-3-642-59546-2
isbn_softcover978-3-642-64020-9
isbn_ebook978-3-642-59546-2Series ISSN 1619-7119 Series E-ISSN 1866-7333
issn_series 1619-7119
copyrightSpringer-Verlag Berlin Heidelberg 2001
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書(shū)目名稱(chēng)Distributed Constraint Satisfaction影響因子(影響力)




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發(fā)表于 2025-3-21 23:06:39 | 只看該作者
Distributed Constraint Satisfaction Problem,distributed among automated agents. Finding a value assignment; to variables that satisfies inter-agent constraints can be viewed as achieving coherence or consistency among agents. Achieving coherence or consistency is one of the main research topics in multi-agent systems (MAS). Therefore, distrib
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地板
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Handling Multiple Local Variables, the local problem of each agent becomes large and complex. Although these algorithms can be applied to the situation where one agent has multiple local variables by the following methods, both methods are neither efficient nor scalable to large problems.
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https://doi.org/10.1007/978-1-4684-6521-1m as a distributed CSP, we don’t have to develop algorithms for solving it from scratch, since various algorithms for solving distributed CSPs have been developed. We show the classification of these algorithms in Section 2.4.
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發(fā)表于 2025-3-22 21:50:05 | 只看該作者
Distributed Constraint Satisfaction Problem,m as a distributed CSP, we don’t have to develop algorithms for solving it from scratch, since various algorithms for solving distributed CSPs have been developed. We show the classification of these algorithms in Section 2.4.
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1619-7119 ults in a consistent way.Includes supplementary material: When multiple agents are in a shared environment, there usually exist con- straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consis
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