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.

Bibliographic Information

Book Title: Evolution of Parallel Cellular Machines
Book Subtitle: The Cellular Programming Approach
Editors: Moshe Sipper
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-62613-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
Softcover ISBN: 978-3-540-62613-8Published: 05 March 1997
eBook ISBN: 978-3-540-68340-7Published: 05 August 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 202
Topics: Computer System Implementation, Artificial Intelligence, Computation by Abstract Devices, Processor Architectures, Programming Techniques, Computer Appl. in Life Sciences

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