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Coordination in utility managed multi-agent groups

机译:实用程序管理多智能集团的协调

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摘要

A two stage approach to co-ordination in a multi-agent society is presented. The first stage involves agents learning to co-ordinate their activities based on local and global utility - the latter being assigned by an Environment Service Node. Each agent aims to maximise its local utility over a single-step or finite horizon, subject to reinforcements being received from the ESN. An agent may reveal all or partial state to the ESN, and docs so through specialised function operators. Groups are formed by agents trying to identify partners which enable them to achieve a higher local utility. Subsequent interactions with the group are structured and managed via Grouploq- an approach for supporting interactions between agents within a community. An example based on resource sharing within a Computational Grid is used to illustrate how the two approaches may be combined.
机译:介绍了多贸易社会中协调的两阶段方法。第一阶段涉及代理商学习,以基于本地和全球实用程序协调其活动 - 后者被环境服务节点分配。每个代理人旨在通过单步或有限地平线最大化其当地效用,但通过从ESN接收的增援部度。代理可以通过专门的函数运算符向ESN和DOCS显示所有或部分状态。组是由试图识别合作伙伴的代理人组成的,使他们能够实现更高的当地效用。随后与本集团的相互作用通过GrouploQ构建和管理 - 一种用于支持社区内代理之间的相互作用的方法。基于计算网格内的资源共享的示例用于说明可以组合两种方法。

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