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Communication Dans Un Congrès Année : 2022

On Verifying Expectations and Observations of Intelligent Agents

Résumé

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.

Dates et versions

hal-04047576 , version 1 (27-03-2023)

Identifiants

Citer

Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber. On Verifying Expectations and Observations of Intelligent Agents. Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, Jul 2022, Vienna, Austria. pp.2568-2574, ⟨10.24963/ijcai.2022/356⟩. ⟨hal-04047576⟩
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