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Semi-Simplicial Set Models for Distributed Knowledge

  • Laboratoire d'Informatique (LIX)
  • Université Paris
  • University of Strathclyde
  • Universidad Nacional Autónoma de México (UNAM)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, a new class of models for multi-agent epistemic logic has emerged, based on simplicial complexes. Since then, many variants of these simplicial models have been investigated, giving rise to different logics and axiomatizations. In this paper, we present a further generalization, which encompasses all previously studied variants of simplicial models. Geometrically, this is achieved by generalizing beyond simplicial complexes, and considering instead semi-simplicial sets. By doing so, we define a new semantics for epistemic logic with distributed knowledge, where a group of agents may distinguish two worlds, even though each individual agent in the group is unable to distinguish them. As it turns out, these models are the geometric counterpart of a generalization of Kripke models, called "pseudo-models". We show how to recover the previously defined variants of simplicial models as sub-classes of our models; and give a sound and complete axiomatization for each of them.

Original languageEnglish
Title of host publication2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335873
DOIs
Publication statusPublished - 1 Jan 2023
Event38th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2023 - Boston, United States
Duration: 26 Jun 202329 Jun 2023

Publication series

NameProceedings - Symposium on Logic in Computer Science
Volume2023-June
ISSN (Print)1043-6871

Conference

Conference38th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2023
Country/TerritoryUnited States
CityBoston
Period26/06/2329/06/23

Keywords

  • Distributed knowledge
  • Epistemic logic
  • Simplicial sets

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