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 writes stories where science meets imagination. A professor of artificial intelligence and award-winning scientist, he has published over 220 scientific works and taught around the world.

His research explores topics from deep learning to genetic programming.

Alongside his academic career, he writes fiction that blends imagination with thought-provoking ideas. His books span science fiction, thrillers, absurdist humor, young adult and middle-grade fiction, biblical fiction, and cartoons.

He also writes popular science and computer science books that make complex ideas accessible to a broad audience.

Whether through fiction or nonfiction, his writing invites readers to explore surprising questions, strange worlds, and the possibilities of the future.

Learn more at moshesipper dot com.