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The Perplexus Programming Framework: Combining Bio-inspiration and Agent-Oriented Programming for the Simulation of Large Scale Complex Systems

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Evolvable Systems: From Biology to Hardware (ICES 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5216))

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Abstract

This paper presents a flexible agent-oriented programming framework that provides native support for bio-inspired mechanisms. This solution, developed within the Perplexus IST European project [IST-034632] aims at providing a means for the specification of applications running on a distributed and pervasive network of mobile nodes. In such applications, the deployed systems may face time-changing environments and bio-inspiration may prove useful bringing self-adaptability to the system. The presented framework features are demonstrated on a proof-of-concept application made of simple robots that autonomously improve their behaviour over time.

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Author information

Authors and Affiliations

  1. LIRMM, Univ. Montpellier 2, CNRS., 161 rue Ada, 34392, Montpellier, France

    Olivier Brousse, Gilles Sassatelli, Thierry Gil & Michel Robert

  2. UNIL, Switzerland

    François Grize

  3. HEIG-VD, Switzerland

    Eduardo Sanchez, Andrés Upegui & Yann Thoma

Authors
  1. Olivier Brousse
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  2. Gilles Sassatelli
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  3. Thierry Gil
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  4. Michel Robert
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  5. François Grize
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  6. Eduardo Sanchez
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  7. Andrés Upegui
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  8. Yann Thoma
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Editor information

Editors and Affiliations

  1. NASA Ames Research Center, University of California Santa Cruz, UARC Mail Stop 269-3, CA 94035, Moffett Field, USA

    Gregory S. Hornby

  2. Faculty of Information Technology, Brno University of Technology, Bozetechova 2, 612 66, Brno, Czech Republic

    Lukáš Sekanina

  3. Faculty of Information Technology, Dept. of Computer and Information Science, Norwegian University of Science and Technology, 7491, Gloshaugen, Norway

    Pauline C. Haddow

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© 2008 Springer-Verlag Berlin Heidelberg

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Brousse, O. et al. (2008). The Perplexus Programming Framework: Combining Bio-inspiration and Agent-Oriented Programming for the Simulation of Large Scale Complex Systems. In: Hornby, G.S., Sekanina, L., Haddow, P.C. (eds) Evolvable Systems: From Biology to Hardware. ICES 2008. Lecture Notes in Computer Science, vol 5216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85857-7_36

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  • DOI: https://doi.org/10.1007/978-3-540-85857-7_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85856-0

  • Online ISBN: 978-3-540-85857-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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