A distributed multi-agent model for value nets

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

8 Scopus citations

Abstract

In this paper, we discuss an agent based solution strategy to the new customer centric economy created by the Internet. This solution strategy includes changing the current supply chain model into a value net model that is driven by the customer and coordinated by a complex multi-agent network. To coordinate all activity within the multi-agent value net a new agent based communication language based on the Extensible Markup Language (XML) is proposed.

Original languageEnglish (US)
Title of host publicationEngineering of Intelligent Systems - 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Proceedings
EditorsLaszlo Monostori, Jozsef Vancza, Moonis Ali
PublisherSpringer Verlag
Pages718-727
Number of pages10
ISBN (Print)3540422196, 9783540422198
StatePublished - Jan 1 2001
Event14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001 - Budapest, Hungary
Duration: Jun 4 2001Jun 7 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2070
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001
CountryHungary
CityBudapest
Period6/4/016/7/01

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Dodd, C., & Kumara, S. R. T. (2001). A distributed multi-agent model for value nets. In L. Monostori, J. Vancza, & M. Ali (Eds.), Engineering of Intelligent Systems - 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Proceedings (pp. 718-727). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2070). Springer Verlag.