A novel conflict resolution strategy in multi-agent systems: Concept and model

In this paper, we present the concept and model of a conflict resolution strategy for a multi-agent system that covers all aspects of conflict processing, from collecting agents’ opinions, recognition of possible conflict status, and through a joint final decision. Our approach is to specify a novel...

Full description

Saved in:
Bibliographic Details
Main Authors: Basheer G.S., Ahmad M.S., Tang A.Y.C., Ahmad A., Mohd. Yusoff M.Z., Mostafa S.A.
Other Authors: 55614274300
Format: Article
Published: Springer Verlag 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
id my.uniten.dspace-21987
record_format dspace
spelling my.uniten.dspace-219872023-05-16T10:46:28Z A novel conflict resolution strategy in multi-agent systems: Concept and model Basheer G.S. Ahmad M.S. Tang A.Y.C. Ahmad A. Mohd. Yusoff M.Z. Mostafa S.A. 55614274300 56036880900 36806985400 55390963300 22636590200 37036085800 In this paper, we present the concept and model of a conflict resolution strategy for a multi-agent system that covers all aspects of conflict processing, from collecting agents’ opinions, recognition of possible conflict status, and through a joint final decision. Our approach is to specify a novel structure for classifying conflict states in decision-making in which related factors, such as number of conflicting agents, agent’s confidence level and strength of conflict play essential roles in guiding and selecting the conflict resolution strategies. We provide an example scenario as a proof of concept to show the model’s applicability in multiple conflict situations. © Springer International Publishing Switzerland 2014. Final 2023-05-16T02:46:28Z 2023-05-16T02:46:28Z 2014 Article 10.1007/978-3-319-05503-9_4 2-s2.0-84926620183 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926620183&doi=10.1007%2f978-3-319-05503-9_4&partnerID=40&md5=5142c6b211195fae3a4cef53137a32ea https://irepository.uniten.edu.my/handle/123456789/21987 551 35 45 Springer Verlag Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description In this paper, we present the concept and model of a conflict resolution strategy for a multi-agent system that covers all aspects of conflict processing, from collecting agents’ opinions, recognition of possible conflict status, and through a joint final decision. Our approach is to specify a novel structure for classifying conflict states in decision-making in which related factors, such as number of conflicting agents, agent’s confidence level and strength of conflict play essential roles in guiding and selecting the conflict resolution strategies. We provide an example scenario as a proof of concept to show the model’s applicability in multiple conflict situations. © Springer International Publishing Switzerland 2014.
author2 55614274300
author_facet 55614274300
Basheer G.S.
Ahmad M.S.
Tang A.Y.C.
Ahmad A.
Mohd. Yusoff M.Z.
Mostafa S.A.
format Article
author Basheer G.S.
Ahmad M.S.
Tang A.Y.C.
Ahmad A.
Mohd. Yusoff M.Z.
Mostafa S.A.
spellingShingle Basheer G.S.
Ahmad M.S.
Tang A.Y.C.
Ahmad A.
Mohd. Yusoff M.Z.
Mostafa S.A.
A novel conflict resolution strategy in multi-agent systems: Concept and model
author_sort Basheer G.S.
title A novel conflict resolution strategy in multi-agent systems: Concept and model
title_short A novel conflict resolution strategy in multi-agent systems: Concept and model
title_full A novel conflict resolution strategy in multi-agent systems: Concept and model
title_fullStr A novel conflict resolution strategy in multi-agent systems: Concept and model
title_full_unstemmed A novel conflict resolution strategy in multi-agent systems: Concept and model
title_sort novel conflict resolution strategy in multi-agent systems: concept and model
publisher Springer Verlag
publishDate 2023
_version_ 1806425543288029184