Using Diagnosis to Learn Contextual Coordination Rules

Bryan Horling and Victor Lesser

Knowing when and how to communicate and coordinate with other agents in a multi-agent system is an important efficiency and reliability question. Contextual rules governing this communication must be provided to the agent, or generated at runtime through environmental analysis. In this paper we describe how the TAEMS task modeling language is used to encode such contextual coordination rules, and how runtime diagnosis can be used to dynamically update them.

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