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An Algebraic Framework for Modeling of Reactive Rule-Based Intelligent Agents

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SOFSEM 2014: Theory and Practice of Computer Science (SOFSEM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8327))

Abstract

As the use of intelligent agents in critical domains increases, the need for verifying their behavior becomes stronger. Reactive rules are the main reasoning formalism for intelligent agents. For this reason, we propose the use of the OTS/CafeOBJ method for the specification of reactive rules, which will permit the verification of safety properties for reactive rule-based intelligent agents.

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Author information

Authors and Affiliations

  1. National Technical University of Athens, Iroon Polytexneiou 9, Zografou, 15780, Athens, Greece

    Katerina Ksystra, Petros Stefaneas & Panayiotis Frangos

Authors
  1. Katerina Ksystra
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  2. Petros Stefaneas
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  3. Panayiotis Frangos
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Editor information

Editors and Affiliations

  1. Dep. Computer Sci., P. J. Šafárik University, Jesenná 5, 04154, Košice, Slovakia

    Viliam Geffert

  2. Katholieke Universiteit Leuven, 3001, Leuven-Heverlee, Belgium

    Bart Preneel

  3. Department of Computer Science, Comenius University, Mlynska Dolina, 84248, Bratislava, Slovakia

    Branislav Rovan

  4. Institute of Computer Science, Academy of Sciences, 18207, Prague, Czech Republic

    Július Štuller

  5. Institute of Software Technology, Vienna University of Technology, Favoritenstraße 9-11 / 188, 1040, Vienna, Austria

    A Min Tjoa

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© 2014 Springer International Publishing Switzerland

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Ksystra, K., Stefaneas, P., Frangos, P. (2014). An Algebraic Framework for Modeling of Reactive Rule-Based Intelligent Agents. In: Geffert, V., Preneel, B., Rovan, B., Štuller, J., Tjoa, A.M. (eds) SOFSEM 2014: Theory and Practice of Computer Science. SOFSEM 2014. Lecture Notes in Computer Science, vol 8327. Springer, Cham. https://doi.org/10.1007/978-3-319-04298-5_36

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  • DOI: https://doi.org/10.1007/978-3-319-04298-5_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04297-8

  • Online ISBN: 978-3-319-04298-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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