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DEVS-based endomorphic agents: Control through deliberative and reactive planning

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Computer Aided Systems Theory — EUROCAST '95 (EUROCAST 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1030))

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Abstract

A DEVS-based Endomorphic Agent employs models of the environment and itself to achieve autonomy in various way. In this paper, we present a framework for an agent able to flexibly reprogram itself under changing objectives or constraints such as might be provided in a flexible manufacturing environment. We show how the agent is able to employ its DEVS-models to develop control schemes for given objectives and constraints. The schemes can then be revised as required when a change in the desired objectives or constraints occurrs. The systems model knowledge representation thus gives the agent greater flexibility and autonomy than is possible with purely rective planners or supervisory controllers.

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Authors and Affiliations

  1. Ecole Nationale Superieure de Chimie de Paris UR Modelisation, Equipe Procedes Chimiques, 11 rue P. M. Curie, 75231, Paris Cedex 05, France

    Hamaidi Lyes, Patrick Bourseau & Gilles Muratet

  2. AI and Simulation Research Group Department of Electrical and Computer Engineering, University of Arizona, 85721, Tucson, AZ

    Jerry M. Couretas & Bernard P. Zeigler

Authors
  1. Hamaidi Lyes
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  2. Patrick Bourseau
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  3. Gilles Muratet
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  4. Jerry M. Couretas
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  5. Bernard P. Zeigler
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Editor information

Franz Pichler Roberto Moreno Díaz Rudolf Albrecht

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© 1996 Springer-Verlag Berlin Heidelberg

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Lyes, H., Bourseau, P., Muratet, G., Couretas, J.M., Zeigler, B.P. (1996). DEVS-based endomorphic agents: Control through deliberative and reactive planning. In: Pichler, F., Díaz, R.M., Albrecht, R. (eds) Computer Aided Systems Theory — EUROCAST '95. EUROCAST 1995. Lecture Notes in Computer Science, vol 1030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034775

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  • DOI: https://doi.org/10.1007/BFb0034775

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60748-9

  • Online ISBN: 978-3-540-49358-7

  • eBook Packages: Springer Book Archive

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