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Cooperative Multi-Agent Planning: A Survey

机译:多代理合作计划:一项调查

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摘要

Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms, and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by considering multiple intelligent agents that work cooperatively to develop a course of action that satisfies the goals of the group.This article reviews the most relevant approaches to MAP, putting the focus on the solvers that took part in the 2015 Competition of Distributed and Multi-Agent Planning, and classifies them according to their key features and relative performance.
机译:合作多代理计划(MAP)是一个相对较新的研究领域,结合了人工智能计划和多智能体系统社区开发的技术,算法和技术。尽管计划通常被视为单代理任务,但是MAP通过考虑多个智能代理进行协作来概括此概念,这些智能代理可以协同工作以制定满足小组目标的行动方案。本文回顾了与MAP最相关的方法,重点关注参加了2015年分布式和多Agent规划竞赛的求解器,并根据其关键特征和相对性能对其进行分类。

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