A Strategic Model of Negotiation for Autonomous Agents

自主代理谈判的战略模型

• 批准号: 9123460
• 负责人: Jonathan Wilkenfeld
• 金额: $ 32.18万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-06-01 至 1995-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9123460&HistoricalAwards=false
• 关键词: Strategic; Model; Negotiation; Autonomous; Agents

Distributed Artificial Intelligence (DAI) has been concerned with the design of automated agents which can interact effectively in order to satisfy their goals. This project will contribute to both the theory and design of efficient autonomous agents which are able to communicate and negotiate in such a way as to enhance the possibility of reaching mutually beneficial agreements. The authors are developing a strategic model of negotiation that takes the passage of time during the negotiation process itself into consideration. This model is used in the creation of a prototype of an autonomous agent that participates in situations where negotiations are required, and where time constraints exist. A preliminary model has been constructed, based on the differentialimpact of time on the parties, the effects of two-partyand restricted N-party environments, an full information. The researchers are extending the model to deal with situations where the information available to the agents is incomplete, to more complicated N-party situations, and to agents with limited rationality. Parallel to these theoretical extensions, the design of the automated negotiator is being developed and a prototype created. The strategic model is used to identify efficient strategies for the automated negotiator, for various negotiationsituations. A library of meta-strategies in which the strategies will be presented using the finite-automata framework is being built. The automated negotiator identifies the appropriate parameters of its situation, searches for the appropriate strategy, and negotiates according to that strategy. //

分布式人工智能（DAI）一直关注自动化代理的设计，这些代理可以有效地交互以满足其目标。 该项目将为高效自主代理的理论和设计做出贡献，这些代理能够以提高达成互利协议的可能性的方式进行沟通和谈判。 作者正在开发一种谈判战略模型，该模型将谈判过程本身的时间流逝考虑在内。 该模型用于创建自治代理的原型，该代理参与需要协商且存在时间限制的情况。 基于时间对各方的差异影响、两方和受限N方环境的影响以及完整的信息，构建了初步模型。研究人员正在扩展该模型，以处理智能体可用信息不完整的情况、更复杂的 N 方情况以及理性有限的智能体。 与这些理论扩展并行的是，自动谈判器的设计正在开发中，并创建了原型。 战略模型用于为自动谈判器识别各种谈判情况的有效策略。 正在构建一个元策略库，其中将使用有限自动机框架来呈现策略。 自动谈判器识别其情况的适当参数，搜索适当的策略，并根据该策略进行谈判。 //