CAREER: Commonality in Multiagent Systems: Protocols and Languages

该奖项支持研究一种方法， 代理商可以共同开发 共享 规则 的互动和共同分享的沟通语言，而在一个互动 多智能体环境 互动和沟通被视为代理人的尝试，以最大限度地提高他们的绩效，衡量预期效用的结果。 这项研究的目的是使代理人受益于共享的行为规则，并可能出现在相互作用的代理人之间，而无需重新计算当前的最佳行动方案。 的 研究还旨在丰富 通过形式化共享通信语言的作用和有用性来提高代理的通信能力。这条线索的延续是 的精确 语言形成机制的形式化。 这项研究最重要的影响将出现在 多代理场景的特点是不可预见的变化，如在危险的环境中，通信网络的分布式管理，和灵活的制造系统。

The award supports research into a methodology under which autonomous agents can develop commonly shared rules of interaction and commonly shared communication languages, while interacting in a multi-agent environment. Interaction and communication are viewed as agents' attempts to maximize their performance, measured as expected utility of outcomes. The research aims to enable agents to benefit from rules of behavior that are shared and that could emerge among interacting agents without the necessity to recompute currently optimal courses of action. The research also seeks to enrich the agents' communicative abilities by formalizing the role and usefulness of shared communication languages. The continuation of this thread is the precise formalization of a mechanism of language formation. The most significant impact of this research will appear in multi-agent scenarios characterized by unanticipated change, such as those in hazardous environments, distributed management of communications networks, and flexible manufacturing systems.