分布式约束满足:基础与应用

Makoto Yokoo
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引用次数: 2

摘要

当多个代理处于共享环境中时,这些代理的可能操作之间通常存在约束。分布式约束满足问题(distributed constraint satisfaction problem,分布式CSP)是一个寻找满足这些代理间约束的一致的操作组合的问题。约束满足问题的研究在人工智能领域有着悠久而杰出的历史,它是一个可以形式化各种应用问题的通用框架。同样,分布式CSP是实现代理之间协调的基本问题,可以形式化多代理系统中的各种应用问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed constraint satisfaction: foundation and applications
When multiple agents are in a shared environment, there usually exist constraints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem to find a consistent combination of actions that satisfies these inter-agent constraints. The research on constraint satisfaction problems has a long and distinguished history in AI as a general framework that can formalize various application problems. Similarly, a distributed CSP is a fundamental problem for achieving coordination among agents and can formalize various application problems in multi-agent systems.
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