Abstract It is well know the necessity of managing relationships among agents in a multi-agent system to achieve coordinated behavior. One approach to manage such relationships consists of using an explicit representation of them, allowing each agent to choose its actions based on them. Previous work in the area have considered ideal situations, such as fully known environments, static relationships and shared mental states. In this paper we propose to represent relationships among agents and entities in a multi-agent system by using influence diagrams. The advantages of the representation are twofold. First, it enables agents to better reason how to achieve their goals in an uncertain environment inhabited by multiple agents. Second, it can be used to learn new coordination relationships from past experiences. 1
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