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Approaches to Increase the Performance of Agent-Based Production Systems

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Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

The paper outlines two attempts to enhance the performance of agent- based manufacturing systems using adaptation/learning techniques. Some agent-level parameters are introduced, by which the system behavior can be tuned. The research was carried out with the help of a simulation framework for agent-based manufacturing architectures developed by the authors earlier. A short description of the framework, including the agents’ structure, communica- tion and cooperation techniques, is also given. The paper briefly introduces the main DAI approaches supporting the realization of distributed manufacturing structures, such as agent-based and holonic manufacturing systems. Some main results of this field are also enumerated.

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Author information

Authors and Affiliations

  1. Hungarian Academy of Sciences, Computer and Automation Research Institute, Kende u. 13-17, Budapest, POB 63, H-1518, Hungary

    Botond Kádár & László Monostori

Authors
  1. Botond Kádár
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  2. László Monostori
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Kádár, B., Monostori, L. (2001). Approaches to Increase the Performance of Agent-Based Production Systems. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_68

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  • DOI: https://doi.org/10.1007/3-540-45517-5_68

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

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