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

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--在这些系统中，代理调整他们的行为，以最大化他们的个人回报。一个通用的预测理论，它可以确定预期的紧急行为从初始代理能力和交互协议。 基于效用的自适应多智能体系统的工程方法来自这些研究。最后，将理论应用于激励兼容的信息交换协议的开发，并在一个原型信息交换多智能体系统中实现。信息在协议中充当货币，其价值由代理的自适应行为决定。所有用户的知识、观点和偏见的集合可以立即被所有用户访问。这样的研究是至关重要的开始预测系统的涌现行为，并在整合多智能体系统的理论和实践的方向移动。将编制新的研究生课程，重点是分散系统和基于代理的软件工程本科课程。

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.