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

Ghusoon Salim Basheer, Mohd Sharifuddin Ahmad, Alicia Y.C. Tang, Azhana Ahmad, Mohd Zaliman Mohd, Salama A. Mostafa

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)35-45
Number of pages11
JournalStudies in Computational Intelligence
Volume551
DOIs
Publication statusPublished - 01 Jan 2014

Fingerprint

Multi agent systems
Decision making
Processing

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

@article{81f59fa35ab64668b8e1a2615519a343,
title = "A novel conflict resolution strategy in multi-agent systems: Concept and model",
abstract = "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.",
author = "Basheer, {Ghusoon Salim} and Ahmad, {Mohd Sharifuddin} and Tang, {Alicia Y.C.} and Azhana Ahmad and Mohd, {Mohd Zaliman} and Mostafa, {Salama A.}",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/978-3-319-05503-9_4",
language = "English",
volume = "551",
pages = "35--45",
journal = "Studies in Computational Intelligence",
issn = "1860-949X",
publisher = "Springer Verlag",

}

A novel conflict resolution strategy in multi-agent systems : Concept and model. / Basheer, Ghusoon Salim; Ahmad, Mohd Sharifuddin; Tang, Alicia Y.C.; Ahmad, Azhana; Mohd, Mohd Zaliman; Mostafa, Salama A.

In: Studies in Computational Intelligence, Vol. 551, 01.01.2014, p. 35-45.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A novel conflict resolution strategy in multi-agent systems

T2 - Concept and model

AU - Basheer, Ghusoon Salim

AU - Ahmad, Mohd Sharifuddin

AU - Tang, Alicia Y.C.

AU - Ahmad, Azhana

AU - Mohd, Mohd Zaliman

AU - Mostafa, Salama A.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84926620183&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84926620183&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-05503-9_4

DO - 10.1007/978-3-319-05503-9_4

M3 - Article

AN - SCOPUS:84926620183

VL - 551

SP - 35

EP - 45

JO - Studies in Computational Intelligence

JF - Studies in Computational Intelligence

SN - 1860-949X

ER -