#3248. Efficient multi-agent epistemic planning: Teaching planners about nested belief

July 2026publication date
Proposal available till 14-05-2025
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Journal’s subject area:
Arts and Humanities (miscellaneous);
Developmental and Educational Psychology;
Experimental and Cognitive Psychology;
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Abstract:
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own beliefs, as well as those of other agents. The research addresses the task of synthesizing plans that necessitate reasoning about the beliefs of other agents. We plan from the perspective of a single agent with the potential for goals and actions that involve nested beliefs, non-homogeneous agents, co-present observations, and the ability for one agent to reason as if it were another. We formally characterize our notion of planning with nested belief, and subsequently demonstrate how to automatically convert such problems into problems that appeal to classical planning technology for solving efficiently.
Keywords:
Automated planning; Epistemic planning; Knowledge and belief

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