Building agent-based systems in a discrete-event simulation environment

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

6 Citations (Scopus)

Abstract

The paper outlines a discrete-event simulation environment for modeling agent-based manufacturing systems. Exploiting the advantages of a general discrete-event simulation package, in the developed system agent-based features are directly included in the simulation environment providing the possibility to build agent-based models inside the simulation. The paper describes the agent-based functionalities of the system by presenting the communication mechanisms and predefined collaboration protocols. The modeling system implements the heterarchical control concept that is based on the contract net protocol.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages595-599
Number of pages5
Publication statusPublished - Dec 1 2005
Event4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005 - Budapest, Hungary
Duration: Sep 15 2005Sep 17 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3690 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005
CountryHungary
CityBudapest
Period9/15/059/17/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kádár, B., Pfeiffer, A., & Monostori, L. (2005). Building agent-based systems in a discrete-event simulation environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 595-599). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3690 LNAI).