Evolution of Parallel Cellular Machines: The Cellular Programming Approach

Moshe Sipper (eds.)3540626131, 9783540626138

Collective systems, abounding in nature, have evolved by natural selection to exhibit striking problem-solving capacities. Employing simple yet versatile parallel cellular models, coupled with evolutionary computation techniques, this volume explores the issue of constructing man-made systems that exhibit characteristics like those occuring in nature.
Parallel cellular machines hold potential both scientifically, as vehicles for studying phenomena of interest in areas such as complex adaptive systems and artificial life, and practically, enabling the construction of novel systems, endowed with evolutionary, reproductive, regenerative, and learning capabilities. This volume examines the behavior of such machines, the complex computation they exhibit, and the application of artificial evolution to attain such systems.

---

Table of contents :
Introduction….Pages 1-14
Universal computation in quasi-uniform cellular automata….Pages 15-29
Studying artificial life using a simple, general cellular model….Pages 31-71
Cellular programming: coevolving cellular computation….Pages 73-100
Toward applications of cellular programming….Pages 101-117
Online autonomous evolware: The firefly machine….Pages 119-127
Studying fault tolerance in evolved cellular machines….Pages 129-140
Coevolving architectures for cellular machines….Pages 141-156
Concluding remarks and future research….Pages 157-162