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Self-adaptive Complex Systems

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Multi-Agent Systems (EUMAS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7541))

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Abstract

Nowadays and in the near future, the complexity of computer applications is exponentially increasing. This complexity comes from the inherent properties of such applications: the great number of their involved components, the distribution of their control and skills, the nonlinearity of their process and their increasing openness. This is also caused by the unpredictable coupling with their environment due to high dynamicity. To fulfill these requirements, systems have to adapt themselves in order to be robust and efficient. This paper will deal with self-adaptation in software systems, particularly from a multi-agent viewpoint and will focus on the Adaptive Multi-Agent Systems theory.

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Author information

Authors and Affiliations

  1. IRIT (Institut de Recherche en Informatique de Toulouse), Toulouse University, 118 Route de Narbonne, F-31062, Toulouse Cedex 9, France

    Marie-Pierre Gleizes

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  1. Marie-Pierre Gleizes
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Editor information

Editors and Affiliations

  1. Viale delle Scienze, ICAR-CNR, Ed. 11, 90128, Palermo, Italy

    Massimo Cossentino

  2. Departement of Knowledge Engineering, Maastricht University, Bouillonstraat 8-10, 6211, Maastricht, LH, The Netherlands

    Michael Kaisers

  3. Department of Knowledge Engineering, Maastricht University, Bouillonstraat 8-10, 6211, Maastricht, LH, The Netherlands

    Karl Tuyls  & Gerhard Weiss  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Gleizes, MP. (2012). Self-adaptive Complex Systems. In: Cossentino, M., Kaisers, M., Tuyls, K., Weiss, G. (eds) Multi-Agent Systems. EUMAS 2011. Lecture Notes in Computer Science(), vol 7541. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34799-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-34799-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34798-6

  • Online ISBN: 978-3-642-34799-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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