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Computing Distributed Knowledge as the Greatest Lower Bound of Knowledge

  • INRIA
  • Pontificia Universidad Javeriana de Cali

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Résumé

Let L be a distributive lattice and E(L) be the set of join endomorphisms of L. We consider the problem of finding f⊓E ( L )g given L and f, g∈ E(L) as inputs. (1) We show that it can be solved in time O(n) where n= | L|. The previous upper bound was O(n2). (2) We characterize the standard notion of distributed knowledge of a group as the greatest lower bound of the join-endomorphisms representing the knowledge of each member of the group. (3) We show that deciding whether an agent has the distributed knowledge of two other agents can be computed in time O(n2) where n is the size of the underlying set of states. (4) For the special case of S5 knowledge, we show that it can be decided in time O(nαn) where αn is the inverse of the Ackermann function.

langue originaleAnglais
titreRelational and Algebraic Methods in Computer Science - 19th International Conference, RAMiCS 2021, Proceedings
rédacteurs en chefUli Fahrenberg, Mai Gehrke, Luigi Santocanale, Michael Winter
EditeurSpringer Science and Business Media Deutschland GmbH
Pages413-432
Nombre de pages20
ISBN (imprimé)9783030887001
Les DOIs
étatPublié - 1 janv. 2021
Evénement19th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2021 - Marseille, France
Durée: 2 nov. 20215 nov. 2021

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13027 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence19th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2021
Pays/TerritoireFrance
La villeMarseille
période2/11/215/11/21

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