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Bibliographic Details
Main Authors: Lorini, Emiliano, Rozplokhas, Dmitry
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.22381
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author Lorini, Emiliano
Rozplokhas, Dmitry
author_facet Lorini, Emiliano
Rozplokhas, Dmitry
contents We introduce a new logic of graded distributed belief that allows us to express the fact that a group of agents distributively believe that a certain fact holds with at least strength k. We interpret our logic by means of computationally grounded semantics relying on the concept of belief base. The strength of the group's distributed belief is directly computed from the group's belief base after having merged its members' individual belief bases. We illustrate our logic with an intuitive example, formalizing the notion of epistemic disagreement. We also provide a sound and complete Hilbert-style axiomatization, decidability result obtained via filtration, and a tableaux-based decision procedure that allows us to state PSPACE-completeness for our logic.
format Preprint
id arxiv_https___arxiv_org_abs_2511_22381
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Graded Distributed Belief
Lorini, Emiliano
Rozplokhas, Dmitry
Logic in Computer Science
Artificial Intelligence
We introduce a new logic of graded distributed belief that allows us to express the fact that a group of agents distributively believe that a certain fact holds with at least strength k. We interpret our logic by means of computationally grounded semantics relying on the concept of belief base. The strength of the group's distributed belief is directly computed from the group's belief base after having merged its members' individual belief bases. We illustrate our logic with an intuitive example, formalizing the notion of epistemic disagreement. We also provide a sound and complete Hilbert-style axiomatization, decidability result obtained via filtration, and a tableaux-based decision procedure that allows us to state PSPACE-completeness for our logic.
title Graded Distributed Belief
topic Logic in Computer Science
Artificial Intelligence
url https://arxiv.org/abs/2511.22381