基于契约网协议的在线多智能体规划社会目标分配

R. C. Cardoso, Rafael Heitor Bordini
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引用次数: 7

摘要

中央计划系统通常在寻找计划问题的解决方案时为代理分配目标。在分布式多代理设置中,这将约束代理的自主性,并侵犯它们的隐私。因此,通过使用任务分配协议,代理本身可以竞争决定谁将获得每个目标,然后在提供适当的协调机制的情况下单独计划,在计划过程中提供更高程度的自主权和隐私性。在本文中,我们提出使用契约网络协议机制来分配多智能体规划中的社会目标。我们的贡献是一个确定投标的算法,以及几个投标评估标准。我们还定义了一些可作为出价的启发式方法。在我们的算法中,代理使用他们的计划库扩展社会目标,以收集信息并制定他们的出价。我们还展示了在多智能体规划领域的实验结果,以评估我们的启发式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allocating Social Goals Using the Contract Net Protocol in Online Multi-agent Planning
Centralised planning systems generally assign goals to agents during the search for a solution to a planning problem. In a distributed multi-agent setting, this would constrain the autonomy of the agents, and violate their privacy. Thus, by using task allocation protocols, the agents themselves can compete to decide who will take each goal, then later plan individually provided coordination mechanisms are in place, giving a higher degree of autonomy and privacy during the planning process. In this paper, we propose the use of a contract net protocol mechanism to allocate social goals in multi-agent planning. Our contributions are an algorithm for determining a bid, and several bid evaluation criteria. We also define some heuristics that can be used as bids. In our algorithm, agents expand social goals using their plan library in order to collect information and formulate their bid. We also show the results of experiments in a multi-agent planning domain in order to evaluate our heuristics.
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