Artificial Life Models in Software

1. Front Matter

   Pages I-XII

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2. Virtual Living Worlds

   1. Avida: Evolution Experiments with Self-Replicating Computer Programs

      • Charles Ofria, Claus O. Wilke

      Pages 3-35

   2. Framsticks: A Platform for Modeling, Simulating, and Evolving 3D Creatures

      • Maciej Komosinski

      Pages 37-66

   3. Nerve Garden: Germinating Biological Metaphors in Net-based Virtual Worlds

      • Bruce Damer, Karen Marcelo, Frank Revi, Todd Furmanski, Chris Laurel

      Pages 67-80

   4. GenePool: Exploring the Interaction Between Natural Selection and Sexual Selection

      • Jeffrey Ventrella

      Pages 81-96

   5. Sodarace: Adventures in Artificial Life

      • Peter W. McOwan, Edward J. Burton

      Pages 97-111

3. Collective Artificial Life

   1. Escaping the Accidents of History: An Overview of Artificial Life Modeling with Repast

      • Michael J. North, Charles M. Macal

      Pages 115-141

   2. EINSTein: A Multiagent-based Model of Combat

      • Andrew Ilachinski

      Pages 143-185

   3. StarLogo: A Programmable Complex Systems Modeling Environment for Students and Teachers

      • Andrew Begel, Eric Klopfer

      Pages 187-209

   4. On the Evolution of Sonic Ecosystems

      • Jon McCormack

      Pages 211-230

4. Magic of Discrete Worlds

   1. Exploring Cellular Automata with MCell

      • Mirek Wojtowicz

      Pages 233-261

   2. Discrete Dynamics Lab: Tools for Investigating Cellular Automata and Discrete Dynamical Networks

      • Andrew Wuensche

      Pages 263-297

5. Artificial Life Arts

   1. Simulated Breeding — A Framework of Breeding Artifacts on the Computer

      • Tatsuo Unemi

      Pages 301-322

   2. Enriching Aesthetics with Artificial Life

      • Alan Dorin

      Pages 323-335

6. Back Matter

   Pages 337-344

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Arti?cial life is an interdisciplinary ?eld of science, hosting experts from c- puter science, biology, physics, chemistry, and mathematics, as well as phi- sophers and artists. It focuses on studying the phenomena of life on all levels of complexity and organization — molecular, cellular, organismic, and p- ulation. These studies not only employ conventional computers (using both software and hardware), but also take place in wetware, using techniques of biochemical laboratory. Arti?cial life research is not limited to life forms - isting on the Earth. It rather attempts to study the general principles of life which are common to all instances of life, both already recognized and yet unknown. This book is dedicated to the software medium, the most popular and widely employed in the arti?cial life research. The software medium o?ers almost unlimited abilities for experiments, which are cheap, easily arranged, and modi?ed. Additionally, such experiments canbe repeated under the same conditions, and large amounts of data (unavailable in biological studies) can be collectedfor analysis.To beginexperimentation,a modelof lifeis required. Such models are built in software for all organizational levels of life. Most of the models described in this book are very general and therefore allow for a wide range of experiments.

• artificial life
• automata
• behavior
• biologically inspired
• complex system
• computer
• design
• evolution
• intelligence
• modeling
• robot
• robotics
• simulation
• software
• system modeling

From the reviews:

"Artificial Life Models in software is a unique book that showcases a variety of freely available software for artificial life simulations. … It will be valuable for many related to artificial life, especially as an introductory reading for students … . It will also be a nice informative reference for professional researchers and educators. … I would like to recommend Artificial life models in software to whoever is interested in artificial life … ." (Hiroki Sayama, Artificial Life, Issue 13, 2007)

• Faculty of Computing, Engineering and Maths Sciences, University of the West of England, Bristol, UK

  Andrew Adamatzky

• Institute of Computing Science, Poznan University of Technology, Poznan, Poland

  Maciej Komosinski

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