Andrew Adamatzky & Maciej Komosinski 
Artificial Life Models in Software 

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.

Inhaltsverzeichnis

Avida: Evolution Experiments with Self-Replicating Computer Programs.- Framsticks: A Platform for Modeling, Simulating, and Evolving 3D Creatures.- Nerve Garden: Germinating Biological Metaphors in Net-based Virtual Worlds.- Gene Pool: Exploring the Interaction Between Natural Selection and Sexual Selection.- Sodarace: Adventures in Artificial Life.- Escaping the Accidents of History: An Overview of Artificial Life Modeling with Repast.- EINSTein: A Multiagent-based Model of Combat.- Star Logo: A Programmable Complex Systems Modeling Environment for Students and Teachers.- On the Evolution of Sonic Ecosystems.- Exploring Cellular Automata with MCell.- Discrete Dynamics Lab: Tools for Investigating Cellular Automata and Discrete Dynamical Networks.- Simulated Breeding — A Framework of Breeding Artifacts on the Computer.- Enriching Aesthetics with Artificial Life.