Negotiation and Cooperation in Multi-Agent Environments

这是为期三年的持续赠款的第一年资助。分布式人工智能(DAI)的研究涉及如何设计自动代理以有效地交互。这项提议涉及到使用战略谈判模型来实现代理之间的合作。在战略谈判中，代理人沟通各自的愿望和妥协，以达成互惠互利的协议。战略谈判是一个过程，可能包括几次报价和还价的迭代。这一领域的一个主要考虑因素是减少规划和谈判时间所产生的间接成本。本研究考察了自治代理之间的资源分配和任务分配问题。其目标是开发一种能够与其环境中的其他代理进行有效合作的自动化代理。

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.