Artificial Life Models in Software

  • Maciej Komosinski
  • Andrew Adamatzky

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Virtual Environments

    1. Charles Ofria, David M. Bryson, Claus O. Wilke
      Pages 3-35
    2. Peter W. McOwan, Edward J. Burton
      Pages 61-77
    3. Maciej Komosinski, Szymon Ulatowski
      Pages 107-148
  3. Lattice Worlds

    1. Eric Klopfer, Hal Scheintaub, Wendy Huang, Daniel Wendel
      Pages 151-182
    2. Gary An, Uri Wilensky
      Pages 183-214
    3. Andrew Wuensche
      Pages 215-258
    4. Andrew Ilachinski
      Pages 259-315
  4. Artificial Chemistries

    1. Christoph Kaleta
      Pages 319-342
    2. Harold Fellermann
      Pages 343-367
  5. Artificial Life Arts

    1. Tatsuo Unemi
      Pages 371-392
    2. Jon McCormack
      Pages 393-414
  6. Back Matter
    Pages 433-441

About this book

Introduction

Artificial Life Models in Software provides an introduction and guide to modern software tools for modeling and simulating life-like phenomena, written by those who personally design and develop software, hardware, and art installations in artificial life, simulated complex systems and virtual worlds.

This timely volume offers a nearly exhaustive overview and original analysis of major non-profit software packages that are actively developed and supported by experts in artificial life and software design. The carefully selected topics include:

• simulation and evolution of real and artificial life forms,

• natural and artificial morphogenesis,

• self-organization,

• models of communication and social behaviors,

• emergent collective behaviors and swarm intelligence,

• agent-based simulations,

• autonomous and evolutionary robotics,

• adaptive, complex and biologically inspired ecosystems,

• artificial chemistries,

• creative computer art.

The models of life presented here are essential components in undergraduate and post-graduate courses in complex adaptive systems, multi-agent systems, collective robotics and nature-inspired computing. Readers interested in artificial life, evolutionary biology, simulation, cybernetics, computer graphics and animation, neuroscience, cognitive science, and philosophy will find this monograph a valuable guide and an excellent resource for supplementary reading.

Keywords

3D graphics Avida Dynamics agent-based model artificial life complexity evolution evolutionary biology knowledge knowledge representation model modeling multi-agent system simulation software

Editors and affiliations

  • Maciej Komosinski
    • 1
  • Andrew Adamatzky
    • 2
  1. 1.Institute of Computing SciencePoznan University of TechnologyPoznanPoland
  2. 2.Faculty of Computing, Engineering and Mathematical SciencesUniversity of the West of EnglandBristolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84882-285-6
  • Copyright Information Springer London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84882-284-9
  • Online ISBN 978-1-84882-285-6
  • About this book