Negotiation and Cooperation in Multi-Agent Environments

这是为期三年的连续赠款的第一年供资。 分布式人工智能（DAI）的研究关注的是如何设计自动化代理以有效地进行交互。 这个建议涉及到使用一个战略谈判模型来实现代理人之间的合作。 在战略谈判过程中，代理人沟通各自的愿望和妥协，以达成互利的协议。 战略谈判是一个过程，可能包括几个反复的报价和还价. 这一领域的一个主要考虑因素是减少规划和谈判时间造成的间接费用。 本研究探讨自主代理之间的资源分配和任务分配问题。 我们的目标是开发一个自动化的代理能够有效地与其他代理在其环境中的合作。

This is the first year funding of a three-year continuing grant. Research in distributed artificial intelligence (DAI) is concerned with how automated agents can be designed to interact effectively. This proposal involves the use of a strategic- negotiation model to achieve inter-agent cooperation. During the strategic-negotiations agents communicate their respective desires and compromise to reach mutually beneficial agreement. Strategic- negotiation is a process that may include several iterations of offers and counter offers. A major consideration in this domain has been to reduce overhead costs resulting from planning and negotiation time. This research examines resource allocation and task distribution problems among autonomous agents. The objective is the development of an automated agent capable of efficient cooperation with other agents in its environment.