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Knowing-How under Uncertainty (extended abstract)

Knowing-How under Uncertainty (extended abstract)
Knowing-How under Uncertainty (extended abstract)
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.
5120-5124
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Tao, Jia
008c0748-696c-4069-a351-551d311e8056
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Tao, Jia
008c0748-696c-4069-a351-551d311e8056

Naumov, Pavel and Tao, Jia (2020) Knowing-How under Uncertainty (extended abstract). In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. Journal track. pp. 5120-5124 .

Record type: Conference or Workshop Item (Paper)

Abstract

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.

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2020-ijcai-nt - Version of Record
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Published date: July 2020

Identifiers

Local EPrints ID: 457229
URI: http://eprints.soton.ac.uk/id/eprint/457229
PURE UUID: 30587b53-49c2-4270-8daf-9cf30bae0a46
ORCID for Pavel Naumov: ORCID iD orcid.org/0000-0003-1687-045X

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Date deposited: 26 May 2022 16:54
Last modified: 17 Mar 2024 04:10

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Contributors

Author: Pavel Naumov ORCID iD
Author: Jia Tao

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