
Evolution of Parallel Cellular Machines
The Cellular Programming Approach
Moshe Sipper(Author)
Springer (Publisher)
Published on 5. March 1997
Book
Paperback/Softback
XIII, 202 pages
978-3-540-62613-8 (ISBN)
Description
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.
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.
More details
Series
Edition
1997 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIII, 202 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
341 gr
ISBN-13
978-3-540-62613-8 (9783540626138)
DOI
10.1007/3-540-62613-1
Schweitzer Classification
Content
Universal computation in quasi-uniform cellular automata.- Studying artificial life using a simple, general cellular model.- Cellular programming: coevolving cellular computation.- Toward applications of cellular programming.- Online autonomous evolware: The firefly machine.- Studying fault tolerance in evolved cellular machines.- Coevolving architectures for cellular machines.- Concluding remarks and future research.