CAREER: An Analysis of the Dynamics of Adaptive Multiagent Systems, with Application to Global Information Exchange Systems

职业：自适应多智能体系统的动力学分析及其在全球信息交换系统中的应用

• 批准号: 0092593
• 负责人: Jose Vidal
• 金额: $ 35万
• 依托单位: University of South Carolina at Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0092593&HistoricalAwards=false
• 关键词: CAREER; Analysis; Dynamics; Adaptive; Multiagent

The goal of this research project is to develop agent-based systems--for electronic commerce, automated manufacturing, or supply-chains, for example--where the agents adapt their behaviors so as to maximize their individual rewards. A general predictive theory is developed, which can determine expected emergent behaviors from initial agent capabilities and interaction protocols. A methodology for the engineering of utility-based adaptive multi-agent systems is derived from these studies. Finally, the theories are applied to the development of an incentive-compatible information exchange protocol and its implementation in a prototype information exchange multi-agent system. Information serves as a currency in the protocol, and its value is determined via the agents' adaptive behavior. The aggregate of all the users' knowledge, opinions, and biases are immediately accessible to all users. Such research is critical to begin to predict the emergent behavior of systems and to move in the direction of integrating multi-agent systems theory and practice. New graduate curricula with an emphasis on decentralized systems and an undergraduate course on agent-based software engineering will be developed.

这个研究项目的目标是开发基于代理的系统——例如，用于电子商务、自动化制造或供应链——其中代理调整他们的行为以最大化他们的个人回报。提出了一种通用的预测理论，可以从初始智能体的能力和交互协议来确定预期的紧急行为。基于效用的自适应多智能体系统的工程方法来源于这些研究。最后，将这些理论应用于激励兼容信息交换协议的开发和多智能体信息交换原型系统的实现。信息在协议中充当货币，其价值由agent的自适应行为决定。所有用户都可以立即访问所有用户的知识、意见和偏见的集合。这样的研究对于开始预测系统的紧急行为，向着多智能体系统理论与实践相结合的方向发展具有重要意义。将开发新的研究生课程，重点放在分散的系统和基于代理的软件工程的本科课程。