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Qualitative Uncertainty Reasoning in AgentSpeak

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Multi-Agent Systems (EUMAS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14282))

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Abstract

This paper presents an extension of AgentSpeak using dynamic epistemic logic (DEL) to reason about uncertainty. The extension relies on minimal AgentSpeak syntax to describe uncertainty, while augmenting the language with possibilistic reasoning via modalities. We apply the extension to a realistic navigation example with partial observability and vary the amount of uncertainty to evaluate scalability. Scalability is compared with an existing extension which relies on a less expressive form of DEL. We find that DEL’s increased expressiveness comes with a linear cost in computational complexity.

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Notes

  1. 1.

    Do not confuse AppPlans for \(AppPlans'\) defined in Sect. 6.

  2. 2.

    D-AS implementation: https://github.com/MikeVezina/epistemic-jason. We use the DEL reasoner and SAT solver included in Hintikka’s World [17].

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Acknowledgements

We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).

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Correspondence to Michael Vezina .

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Vezina, M., Esfandiari, B., Morley, S., Schwarzentruber, F. (2023). Qualitative Uncertainty Reasoning in AgentSpeak. In: Malvone, V., Murano, A. (eds) Multi-Agent Systems. EUMAS 2023. Lecture Notes in Computer Science(), vol 14282. Springer, Cham. https://doi.org/10.1007/978-3-031-43264-4_3

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