Article (Scientific journals)
From Knowledge to Action: Logics of Permitted and Obligatory Announcements
LI, Xu; Aucher, Guillaume; GABBAY, Dov et al.
2025In Journal of Artificial Intelligence Research, 82, p. 1629 - 1672
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Keywords :
Action logic; Dynamic contexts; Epistemic state; Formalisation; Generalisation; Policy compliance; Privacy policies; Security policy; Statics and dynamics; Artificial Intelligence
Abstract :
[en] We formalize the notions of “permitted and obligatory announcements” in the context of information security, such as privacy policy compliance. In a sender-receiver setting, we define the sender’s permitted and obligatory announcements in terms of the receiver’s ideal epistemic states (i.e., the epistemic states that comply with the given security policies). We propose two logics, LPOA and DLPOA, to reason about permitted and obligatory announcements in static and dynamic contexts, respectively. These two logics are completely axiomatized, and we also study generalizations in which the receiver’s knowledge is characterized by non-S5 logics. Our paper makes two main contributions to the formalization of permitted and obligatory announcements: First, we clarify the interplay between the sender’s permitted and obligatory announcements and the receiver’s knowledge. Second, we distinguish between weakly and strongly permitted announcements.
Disciplines :
Computer science
Author, co-author :
LI, Xu  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Aucher, Guillaume;  Univ Rennes, CNRS, IRISA, IRMAR, France
GABBAY, Dov ;  University of Luxembourg
MARKOVICH, Réka ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
From Knowledge to Action: Logics of Permitted and Obligatory Announcements
Publication date :
2025
Journal title :
Journal of Artificial Intelligence Research
ISSN :
1076-9757
eISSN :
1943-5037
Publisher :
AI Access Foundation
Volume :
82
Pages :
1629 - 1672
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
A preliminary version of this paper has been published in the Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (Li et al., 2022). We thank three anonymous referees of this journal for their valuable comments which clarified some conceptual confusion and improved the exposition of this paper. Thanks are also given to Leendert van der Torre for discussions and comments on earlier drafts of this paper. This work was supported by the Fonds National de la Recherche Luxembourg through the project Deontic Logic for Epistemic Rights (OPEN O20/14776480).
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