Abstract
Humans are capable of recognizing intentions by solely observing another agent’s actions. Hence, in a cooperative planning task, i.e., where all agents aim for all other agents to reach their respective goals, to some extend communication or a central planning instance are not necessary. In epistemic planning a recent research line investigates multi-agent planning problems (MAPF) with goal uncertainty. In this paper, we propose and analyze a round-based variation of this problem, where each agent moves or waits in each round. We show that simple heuristics from cognition can outperform in some cases an adapted formal approach on computation time and solve some new instances in some cases. Implications are discussed.
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The implementation and a more in-depth explanation of the benchmark set and generated data can be found at: https://github.com/Grintel/Cognitive-MAPFDU.
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Acknowledgements
This paper was supported by DFG grants RA 1934/9-1, RA 1934/4-1, and RA 1934/3-1.
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Berger, L., Nebel, B., Ragni, M. (2020). A Heuristic Agent in Multi-Agent Path Finding Under Destination Uncertainty. In: Schmid, U., Klügl, F., Wolter, D. (eds) KI 2020: Advances in Artificial Intelligence. KI 2020. Lecture Notes in Computer Science(), vol 12325. Springer, Cham. https://doi.org/10.1007/978-3-030-58285-2_21
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