Computing Distributed Knowledge as the Greatest Lower Bound of Knowledge

Carlos Pinzón, Santiago Quintero, Sergio Ramírez, Frank Valencia

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaRelational and Algebraic Methods in Computer Science - 19th International Conference, RAMiCS 2021, Proceedings
EditoresUli Fahrenberg, Mai Gehrke, Luigi Santocanale, Michael Winter
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas413-432
Número de páginas20
ISBN (versión impresa)9783030887001
DOI
EstadoPublicada - 2021
Evento19th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2021 - Marseille, Francia
Duración: 02 nov. 202105 nov. 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13027 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia19th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2021
País/TerritorioFrancia
CiudadMarseille
Período02/11/2105/11/21

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