An Interaction Protocol for Mutual Assistance in Agent Teamwork

J. Polajnar, Narek Nalbandyan, Omid Alemi, D. Polajnar
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引用次数: 6

Abstract

This paper proposes and explores an interaction protocol for incorporating helpful behavior into agent teamwork. In the proposed Mutual Assistance Protocol (MAP), an agent can directly assist a teammate who requests help, provided that the two agents jointly determine, based on their individual beliefs, that the expected outcome of the help act is in the interest of the team. This distributed decision is reached through a bidding sequence similar to the one in the Contract Net Protocol. The deliberation about help is approximate in that each agent only assesses the team impact of the change to its own individual plan. The paper introduces two versions of the protocol: Action MAP, in which the helper performs an action within a teammate's individual plan, and Resource MAP, in which one or more helpers provide resources to a teammate. Both versions include refinements for the handling of simultaneous help requests. A cooperative game simulation demonstrates the advantages of Action MAP over action help protocols that use unilateral decision mechanisms, and over teamwork scenarios without help. The experiments show how the team performance depends on: the teammates' mutual awareness of each other's abilities, dynamic disturbance in the environment, communication costs, and computation costs.
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Agent团队互助的交互协议
本文提出并探索了一种将帮助行为纳入代理团队的交互协议。在提出的互助协议(MAP)中,一个agent可以直接帮助请求帮助的队友,前提是两个agent根据各自的信念共同确定帮助行为的预期结果符合团队的利益。这种分布式决策是通过类似于合同网络协议中的竞标顺序来实现的。关于帮助的考虑是近似的,因为每个代理只评估变更对其自己的个人计划的团队影响。本文介绍了该协议的两个版本:Action MAP,其中助手在队友的个人计划中执行操作;Resource MAP,其中一个或多个助手向队友提供资源。这两个版本都对同时处理帮助请求进行了改进。一个合作游戏模拟演示了行动地图相对于使用单边决策机制的行动帮助协议和没有帮助的团队合作方案的优势。实验表明,团队绩效取决于:团队成员对彼此能力的相互认知、环境中的动态干扰、沟通成本和计算成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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