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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY SA
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY SA
Data sources: Datacite
DBLP
Article . 2023
Data sources: DBLP
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Depth-bounded Epistemic Logic

Authors: Farid Arthaud; Martin C. Rinard;

Depth-bounded Epistemic Logic

Abstract

Epistemic logics model how agents reason about their beliefs and the beliefs of other agents. Existing logics typically assume the ability of agents to reason perfectly about propositions of unbounded modal depth. We present DBEL, an extension of S5 that models agents that can reason about epistemic formulas only up to a specific modal depth. To support explicit reasoning about agent depths, DBEL includes depth atoms Ead (agent a has depth exactly d) and Pad (agent a has depth at least d). We provide a sound and complete axiomatization of DBEL. We extend DBEL to support public announcements for bounded depth agents and show how the resulting DPAL logic generalizes standard axioms from public announcement logic. We present two alternate extensions and identify two undesirable properties, amnesia and knowledge leakage, that these extensions have but DPAL does not. We provide axiomatizations of these logics as well as complexity results for satisfiability and model checking. Finally, we use these logics to illustrate how agents with bounded modal depth reason in the classical muddy children problem, including upper and lower bounds on the depth knowledge necessary for agents to successfully solve the problem.

In Proceedings TARK 2023, arXiv:2307.04005

Related Organizations
Keywords

FOS: Computer and information sciences, F.4.1; I.2.11, Computer Science - Logic in Computer Science, I.2.11, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Mathematics, F.4.1, Computer Science - Multiagent Systems, Mathematics - Logic, Logic (math.LO), Logic in Computer Science (cs.LO), Multiagent Systems (cs.MA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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gold