Knowing-How under Uncertainty (Extended Abstract)

Knowing-How under Uncertainty (Extended Abstract)

Pavel Naumov, Jia Tao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Journal track. Pages 5120-5124. https://doi.org/10.24963/ijcai.2020/719

Logical systems containing knowledge and know-how modalities have been investigated in several recent works. Independently, epistemic modal logics in which every knowledge modality is labeled with a degree of uncertainty have been proposed. This article combines these two research lines by introducing a bimodal logic containing knowledge and know-how modalities, both labeled with a degree of uncertainty. The main technical results are soundness, completeness, and incompleteness of the proposed logical system with respect to two classes of semantics.
Keywords:
Knowledge Representation and Reasoning: Logics for Knowledge Representation
Knowledge Representation and Reasoning: Knowledge Representation and Game Theory; Social Choice
Knowledge Representation and Reasoning: Reasoning about Knowledge and Belief