Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Solving conflicting beliefs with a distributed belief revision approach
Publication

Publications

Solving conflicting beliefs with a distributed belief revision approach

Title
Solving conflicting beliefs with a distributed belief revision approach
Type
Article in International Scientific Journal
Year
2000
Authors
Benedita Malheiro
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
Eugénio Oliveira
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Journal
Vol. 1952
Pages: 146-155
ISSN: 0302-9743
Publisher: Springer Nature
Scientific classification
FOS: Natural sciences > Computer and information sciences
Other information
Authenticus ID: P-001-12N
Abstract (EN): The ability to solve conflicting beliefs is crucial for multiagent systems where the information is dynamic, incomplete and distributed over a group of autonomous agents. The proposed distributed belief revision approach consists of a distributed truth maintenance system and a set of autonomous belief revision methodologies. The agents have partial views and, frequently, hold disparate beliefs which are automatically detected by system's reason maintenance mechanism. The nature of these conflicts is dynamic and requires adequate methodologies for conflict resolution. The two types of conflicting beliefs addressed in this paper are Context Dependent and Context Independent Conflicts which result, in the first case, from the assignment, by different agents, of opposite belief statuses to the same belief, and, in the latter case, from holding contradictory distinct beliefs. The belief revision methodology for solving Context Independent Conflicts is, basically, a selection process based on the assessment of the credibility of the opposing belief statuses. The belief revision methodology for solving Context Dependent Conflicts is, essentially, a search process for a consensual alternative based on a "next best" relaxation strategy.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

Consistency and Context management in a Multi-agent Belief revision TestBed (1996)
Chapter or Part of a Book
Benedita Malheiro; Eugénio Oliveira
Solving conflicting believes with a distributed belief revision approach (2000)
Article in International Conference Proceedings Book
Eugénio Oliveira; Benedita Malheiro
Belief Revision in Multi-Agent Systems (1994)
Article in International Conference Proceedings Book
Benedita Malheiro; Nicholas R Jennings; Eugenio Oliveira
Argumentation as distributed belief revision: conflict resolution in decentralized co-operative multi-agent systems (2001)
Article in International Conference Proceedings Book
Benedita Malheiro; Eugénio Oliveira

Of the same journal

Preface DLMIA 2017 (2017)
Another Publication in an International Scientific Journal
Carneiro, G; João Manuel R. S. Tavares; Bradley, A; Papa, JP; Nascimento, JC; Jaime S Cardoso; Belagiannis, V; Lu, Z
Preface: DLMIA 2016 (2016)
Another Publication in an International Scientific Journal
Carneiro, G; João Manuel R. S. Tavares; Bradley, A; Papa, JP; Nascimento, JC; Jaime S Cardoso; Belagiannis, V; Lu, Z
Preface (2001)
Another Publication in an International Scientific Journal
Brazdil, P; Jorge, A
Preface (2021)
Another Publication in an International Scientific Journal
Nelma Moreira; Rogério Reis
Preface (2016)
Another Publication in an International Scientific Journal
Boström, H; Knobbe, A; Carlos Soares; Papapetrou, P

See all (159)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-08-09 at 02:48:18 | Privacy Policy | Personal Data Protection Policy | Whistleblowing