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Multi-Agent Planning

机译:多代理商规划

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摘要

Multi-agent planning is an important issue in the multi-agent systems domain, that poses a number of challenges. As the agents are working in the same environment, they do not have only to plan their actions but also to coordinate their plans, so that they do not have any conflicts among them. It requires both an adequate plan representation and efficient interacting methods allowing agents to coordinate their plans. This chapter tries to answer the following questions: (1) What is multi-agent planning. (2) What are some of its important issues. (3) What are some of the important techniques of multi-agent planning and how can they be classified. We present two techniques in detail. The first one is a recursive model for the representation and the handling of plans by means of Recursive Petri Nets (RPN) which support the specification of concurrent activities, reasoning about simultaneous actions and continuous processes, a theory of verification and mechanisms of transformation (e.g. abstraction, refinement, merging). And in the second one, we describe how an agent can modify his temporal plan, when another agent comes up with a higher priority plan. As the latter has more priority, the former should modify his plan to remove any conflicts. We present a plan merging algorithm supported by a plan repairing algorithm to cope with this situation.
机译:多主体规划是多主体系统领域中的一个重要问题,带来了许多挑战。当代理在相同的环境中工作时,他们不仅不必计划自己的行动,还需要协调他们的计划,以使他们之间没有任何冲突。它既需要适当的计划表示形式,又需要有效的交互方法,以允许代理协调其计划。本章试图回答以下问题:(1)什么是多主体计划。 (2)它有哪些重要问题。 (3)多主体规划的一些重要技术是什么,如何对其进行分类。我们将详细介绍两种技术。第一个是通过递归Petri网(RPN)表示和处理计划的递归模型,该模型支持并发活动的规范,对同时动作和连续过程的推理,验证理论和转换机制(例如抽象,优化,合并)。在第二篇中,我们描述了当另一个代理提出更高优先级的计划时,一个代理如何修改其时间计划。由于后者具有更高的优先级,前者应修改其计划以消除任何冲突。我们提出了一种由计划修复算法支持的计划合并算法来应对这种情况。

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