Artificial Life: Borrowing from Biology

4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings

  • Kevin Korb
  • Marcus Randall
  • Tim Hendtlass
Conference proceedings ACAL 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5865)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5865)

Table of contents

  1. Front Matter
  2. Alife Art

    1. Taras Kowaliw, Alan Dorin, Jon McCormack
      Pages 1-10
    2. Alan Dorin, Kevin B. Korb
      Pages 11-21
  3. Game Theory

  4. Evolution

  5. Complex Systems

    1. David M. Lingard, Dale A. Lambert
      Pages 96-105
    2. Sylvain Cussat-Blanc, Hervé Luga, Yves Duthen
      Pages 116-125
    3. Maik Hadorn, Bo Burla, Peter Eggenberger Hotz
      Pages 126-135
  6. Biological Systems

    1. David M. Lingard
      Pages 149-158
    2. Julie Bernal, Trevor Dix, Lloyd Allison, Angeline Bartholomeusz, Lilly Yuen
      Pages 159-168
  7. Social Modelling

  8. Swarm Intelligence

  9. Heuristics

  10. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 4th Australian Conference on Artificial Life, ACAL 2009, held in Melbourne, Australia, in December 2009.

The 27 revised full papers presented were carefully reviewed and selected from 60 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems. Thus, Alife features analyses and understanding of life and nature and helps modeling biological systems or solving biological problems. The papers are organized in topical sections on alife art, game theory, evolution, complex systems, biological systems, social modelling, swarm intelligence, and heuristics.


Hidden Markov Model adaptive agents agents artificial cells artificial life equilibrium theory evolutionary algorithm fractals heuristics learning modeling perception swarm intelligence swarms wireless sensor networks

Editors and affiliations

  • Kevin Korb
    • 1
  • Marcus Randall
    • 2
  • Tim Hendtlass
    • 3
  1. 1.School of Information TechnologyMonash UniversityClaytonAustralia
  2. 2.School of Information TechnologyBond UniversityQueenslandAustralia
  3. 3.Faculty of Information and Communication TechnologiesSwinburne University of TechnologyMelbourneAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-10426-8
  • Online ISBN 978-3-642-10427-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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