A Temporal Planning Framework for Multi-Agent Systems via LLM-Aided Knowledge Base Management [Preprint]
Published in arXiv preprint, arXiv:2502.19135 [cs.AI], 2025
This paper introduces an LLM-integrated planning framework that dynamically builds and refines symbolic knowledge bases for multi-agent coordination, blending high-level reasoning with temporal planning.
Recommended citation: E. Saccon, A. Tikna, D. D. Martini, E. Lamon, L. Palopoli, and M. Roveri. (2025). "A Temporal Planning Framework for Multi-Agent Systems via LLM-Aided Knowledge Base Management." arXiv:2502.19135 [cs.AI].
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