CAREER: Commonality in Multiagent Systems: Protocols and Languages

该奖项支持对一种方法的研究，在这种方法下，自治代理可以在多代理环境中交互时，开发共同的交互规则和共同的通信语言。交互和沟通被视为代理人试图最大化其绩效，以预期的结果效用衡量。这项研究的目的是使代理能够从共享的行为规则中受益，这些规则可以在相互作用的代理之间出现，而不需要重新计算当前最优的行动方案。该研究还试图通过形式化地确定共享交流语言的作用和有用性来丰富主体的交流能力。这一线索的延续是语言形成机制的精确形式化。这项研究最重要的影响将出现在以意外变化为特征的多代理场景中，例如危险环境中的场景、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.