Automated negotiation with multi-agent systems in business processes

Manuella Kadar, Maria Muntean, Adina Cretan, Ricardo Jardim-Gonçalves

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper presents the design and implementation of a collaborative multi-agent system for automated negotiation processes occurring in dynamic networked environments. The focus is given to a negotiation mechanism required at business level. The mechanism is achieved by software agents within a collaborative working environment in the special case of notified transient situations. Automated negotiation is one of the most common approaches used to make decisions and manage disputes between computational entities leading them to optimal agreements. The proposed solution is based on a multi-agent system architecture that applies rule-based negotiation at business level. This architecture has been tested in the case of on-line auctions in distributed networks.

Original languageEnglish
Title of host publicationProceedings of the 7th IEEE International Conference Intelligent Systems (IS’2014)
Subtitle of host publicationMathematical Foundations, Theory, Analyses
EditorsP. Angelov, K. T. Atanassov, L. Doukovska, M. Hadjiski, V. Jotsov, J. Kacprzyk, N. Kasabov, S. Sotirov, E. Szmidt, S. Zadrożny
Place of PublicationCham
PublisherSpringer Verlag
Pages289-301
Number of pages13
Volume1
ISBN (Electronic)978-3-319-11313-5
ISBN (Print)978-3-319-11312-8
DOIs
Publication statusPublished - 2015
Event7th IEEE International Conference Intelligent Systems (IS’2014) - Warsaw, Poland
Duration: 24 Sept 201426 Sept 2014
Conference number: 7th

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Volume322
ISSN (Print)2194-5357

Conference

Conference7th IEEE International Conference Intelligent Systems (IS’2014)
Abbreviated titleIS’2014
Country/TerritoryPoland
CityWarsaw
Period24/09/1426/09/14

Keywords

  • Automated negotiation
  • Business processes
  • Multi-agent systems
  • Rule-based expert system

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