Evolution of Parallel Cellular Machines: The Cellular Programming Approach

by Moshe Sipper

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.

Paperback

First published April 11, 1997

About the author

Moshe Sipper is a professor of AI, award-winning scientist, and fiction author. He has published over 220 scientific works, taught around the world, and explores topics ranging from deep learning to genetic programming.

He writes across multiple genres, including science fiction, absurdist humor, young adult and middle-grade fiction, biblical fiction, cartoons, popular science, and computer science.

When not researching or writing, he creates cartoons, sings, and imagines new worlds.

Learn more about the author at moshesipper dot com.