In most multiagent applications, communication is essential among agents to coordinate their actions, and thus achieve their goal. However, communication often has a related cost that affects overall system performance. In this paper, we draw inspiration from studies of epistemic planning to develop a communication model for agents that allows them to cooperate and make communication decisions effectively within a planning task. The proposed model treats a communication process as an action that modifies the epistemic state of the team. In two simulated tasks, we evaluate whether agents can cooperate effectively and achieve higher performance using communication protocol modeled in our epistemic planning framework. Based on an empirical study conducted using search and rescue tasks with different scenarios, our results show that the proposed model improved team performance across all scenarios compared with baseline models.
翻译:在大多数多试剂应用中,在代理人之间,通信是协调其行动从而实现其目标的关键。然而,通信往往有影响整个系统业绩的相关成本。在本文件中,我们从对认知性规划的研究中得到灵感,为代理人开发一个通信模式,使其能够在规划任务中有效合作和作出沟通决定。拟议模式将通信进程视为改变团队认知状态的行动。在两项模拟任务中,我们评估代理人能否通过以我们认知性规划框架为模型的通信协议进行有效合作并实现更高的绩效。根据利用不同情景的搜索和救援任务进行的经验性研究,我们的结果显示,拟议的模式改善了团队在与基线模型相比的所有情景上的绩效。