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Link to original content: https://doi.org/10.48550/arXiv.2205.00784
[2205.00784] On verifying expectations and observations of intelligent agents
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Computer Science > Logic in Computer Science

arXiv:2205.00784 (cs)
[Submitted on 2 May 2022 (v1), last revised 12 May 2022 (this version, v2)]

Title:On verifying expectations and observations of intelligent agents

Authors:Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber
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Abstract:Public observation logic (POL) is a variant of dynamic epistemic logic to reason about agent expectations and agent observations. Agents have certain expectations, regarding the situation at hand, that are actuated by the relevant protocols, and they eliminate possible worlds in which their expectations do not match with their observations. In this work, we investigate the computational complexity of the model checking problem for POL and prove its PSPACE-completeness. We also study various syntactic fragments of POL. We exemplify the applicability of POL model checking in verifying different characteristics and features of an interactive system with respect to the distinct expectations and (matching) observations of the system. Finally, we provide a discussion on the implementation of the model checking algorithms.
Comments: Accepted in IJCAI-ECAI 2022
Subjects: Logic in Computer Science (cs.LO); Artificial Intelligence (cs.AI); Computational Complexity (cs.CC)
Cite as: arXiv:2205.00784 [cs.LO]
  (or arXiv:2205.00784v2 [cs.LO] for this version)
  https://doi.org/10.48550/arXiv.2205.00784

Submission history

From: Avijeet Ghosh [view email]
[v1] Mon, 2 May 2022 10:09:49 UTC (134 KB)
[v2] Thu, 12 May 2022 11:12:03 UTC (2,278 KB)
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