Engineering Self-Organising Systems

Third International Workshop, ESOA 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers

  • Sven A. Brueckner
  • Giovanna Di Marzo Serugendo
  • David Hales
  • Franco Zambonelli
Conference proceedings ESOA 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3910)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3910)

Table of contents

  1. Front Matter
  2. Self-organising Mechanisms

    1. Márk Jelasity, Ozalp Babaoglu
      Pages 1-15
    2. Gauthier Picard, Carole Bernon, Marie-Pierre Gleizes
      Pages 31-45
    3. Mariusz Nowostawski, Lucien Epiney, Martin Purvis
      Pages 46-60
    4. Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa
      Pages 75-89
    5. Frederic Armetta, Salima Hassas, Simone Pimont
      Pages 90-103
  3. Methodologies, Models and Tools

  4. Applications

    1. Yasushi Ando, Osamu Masutani, Hiroshi Sasaki, Hirotoshi Iwasaki, Yoshiaki Fukazawa, Shinichi Honiden
      Pages 182-196
    2. Martí Fàbregas, Beatriz López, Josep Masana
      Pages 197-211
    3. H. V. D. Parunak, Peter Weinstein, Paul Chiusano, Sven Brueckner
      Pages 212-221
    4. Eric Tatara, Michael North, Cindy Hood, Fouad Teymour, Ali Cinar
      Pages 222-231
    5. Hadeli, Paul Valckenaers, Paul Verstraete, Bart Saint Germain, Hendrik Van Brussel
      Pages 232-243
  5. Back Matter

About these proceedings


The idea that self-organisation and emergence can be harnessed for the purpose of solving tricky engineering problems is becoming increasingly accepted. - searchers working in many diverse ?elds (such as networks, distributed systems, operating systems and agent systems) are beginning to apply this new approach. This book contains recent work from a broad range of areas with the common theme of utilising self-organisation productively. As distributed information infrastructures continue to spread (such as the Internet, wireless and mobile systems), new challenges have arisen demanding robust and scalable solutions. In these new challenging environments the - signers and engineers of global applications and services can seldom rely on centralised control or management, high reliability of devices, or secure en- ronments. At the other end of the scale, ad-hoc sensor networks and ubiquitous computing devices are making it possible to embed millions of smart computing agents into the local environment. Here too systems need to adapt to constant failures and replacement of agents and changes in the environment, without human intervention or centralised management.


Constraint Satisfaction P2P systems ad-hoc networking adaptive systems algorithms distributed systems emergent behavior evolutionary engineering modeling multi-agent coordination multi-agent system multi-agent systems peer-to-peer computing programming virtual machine

Editors and affiliations

  • Sven A. Brueckner
    • 1
  • Giovanna Di Marzo Serugendo
    • 2
  • David Hales
    • 3
  • Franco Zambonelli
    • 4
  1. 1.NewVectorsAnn ArborUSA
  2. 2.School of Computer Science and Information Systems Birkbeck College LondonUK
  3. 3.Centre for Policy ModellingManchester Metropolitan UniversityManchesterUK
  4. 4.Dipartimento di Scienze e Metodi dell’IngegneriaUniversità di Modena e Reggio EmiliaReggio EmiliaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-33342-5
  • Online ISBN 978-3-540-33352-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site