| Evolution of Parallel Cellular Machines: The Cellular Programming Approach 1997 Edition Contributor(s): Sipper, Moshe (Author) |
|
 |
ISBN: 3540626131 ISBN-13: 9783540626138 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: March 1997 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Systems Architecture - Distributed Systems & Computing - Computers | Computer Science - Computers | Programming - General |
| Dewey: 004.35 |
| LCCN: 97007995 |
| Series: Lecture Notes in Mathematics |
| Physical Information: 0.46" H x 6.14" W x 9.21" (0.69 lbs) 202 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |