A framework for conflict resolution in multi-agent systems

Ghusoon Salim Basheer, Mohd Sharifuddin Ahmad, Yee Chong Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we analyze the effects of agents' confidence in conflict resolution of a multi-agent system and propose a resolution technique to possible conflicts in the environment. It establishes a framework on agents' confidence and conflict strength and shows the possible limits of agents which provide uncertain information. This paper offers a confidence model that depends on some factors, which suggest that agents' opinions do not have equal confidence level. We exploit such circumstance in selecting appropriate strategy to resolve conflicts between agents. Consequently, we propose a multi-agent framework which examines agents' confidence using specific factors and exploiting the level of confidence for detecting the best strategy to conflict resolution.

Original languageEnglish
Title of host publicationComputational Collective Intelligence Technologies and Applications - 5th International Conference, ICCCI 2013, Proceedings
Pages195-204
Number of pages10
DOIs
Publication statusPublished - 01 Dec 2013
Event5th International Conference on Computational Collective Intelligence Technologies and Applications, ICCCI 2013 - Craiova, Romania
Duration: 11 Sep 201313 Sep 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8083 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Computational Collective Intelligence Technologies and Applications, ICCCI 2013
CountryRomania
CityCraiova
Period11/09/1313/09/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Basheer, G. S., Ahmad, M. S., & Tang, Y. C. (2013). A framework for conflict resolution in multi-agent systems. In Computational Collective Intelligence Technologies and Applications - 5th International Conference, ICCCI 2013, Proceedings (pp. 195-204). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8083 LNAI). https://doi.org/10.1007/978-3-642-40495-5_20