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Validation of Multiagent Systems by Symbolic Model Checking

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Agent-Oriented Software Engineering III (AOSE 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2585))

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Abstract

Multiagent Systems are increasingly complex, and the problem of their verification and validation is acquiring increasing importance. In this paper we show how a well known and effective verification technique, symbolic model checking, can be generalized to deal with knowldge-level properties of multi-agent systems. The approach is fully amenable to the reuse of data structures used in symbolic model checking, Binary Decision Diagrams in particular, to deal with extremely large state spaces, and could, in principle, be integrated in the muti-agent systems development process. A preliminary implementation of the approach in the NuMAS system shows promising results.

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Author information

Authors and Affiliations

  1. Dept. of Physical Sciences, University of Naples, “Federico II”, Napoli, Italy

    Massimo Benerecetti

  2. IRST, Istituto Trentino di Cultura, 38050, Povo, Trento, Italy

    Alessandro Cimatti

Authors
  1. Massimo Benerecetti
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  2. Alessandro Cimatti
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Technology, University of Trento, 38050 Povo, Trento, Italy

    Fausto Giunchiglia

  2. 3646 West Huron River Drive, 48103, Ann Arbor, Michigan, USA

    James Odell

  3. Institut für Informatik Technische, Boltzmannstr. 3, 85748, Garching, Germany

    Gerhard Weiß

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© 2003 Springer-Verlag Berlin Heidelberg

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Benerecetti, M., Cimatti, A. (2003). Validation of Multiagent Systems by Symbolic Model Checking. In: Giunchiglia, F., Odell, J., Weiß, G. (eds) Agent-Oriented Software Engineering III. AOSE 2002. Lecture Notes in Computer Science, vol 2585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36540-0_3

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  • DOI: https://doi.org/10.1007/3-540-36540-0_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00713-5

  • Online ISBN: 978-3-540-36540-2

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