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Lightweight Parallel Multi-Agent Epistemic Planning

Abstract : We study a simple version of multi-agent epistemic planning with common knowledge where the number of parallel steps has to be minimized. We prove that this extension of classical planning is in PSPACE. We propose an encoding in PDDL and present some experiments providing evidence that it allows us to solve practical problems. The types of problems we can encode include problems in which one agent can teach another agent how to perform a task and communication problems where some information must not be revealed to some agents.
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Contributor : Andreas Herzig Connect in order to contact the contributor
Submitted on : Friday, November 20, 2020 - 9:35:07 AM
Last modification on : Monday, August 9, 2021 - 3:23:37 AM


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  • HAL Id : hal-03015803, version 1


Martin Cooper, Andreas Herzig, Frédéric Maris, Elise Perrotin, Julien Vianey. Lightweight Parallel Multi-Agent Epistemic Planning. 17th International Conference on Principles of Knowledge Representation and Reasoning - KR 2020, Sep 2020, Rhodes, Greece. ⟨hal-03015803⟩



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