Machine Nature: The Coming Age of Bio-Inspired Computing

by Moshe Sipper

An enthralling look at how computer scientists have crossed the line between machines and living organisms Despite being marvels of complexity and human ingenuity, computers are notoriously bad at learning new things and dealing with new situations. Researchers at the frontiers of computer science have turned to nature for solutions to the problem of machine adaptation and learning. By applying models of complex biological systems to the realm of computing machines, they have given rise to a new breed of adaptive software and hardware. In Machine Nature , computer scientist Moshe Sipper takes readers on a thrilling journey to the terra nova of computing, to provide a compelling look at cutting-edge computers, robots, and machines now and in the decades ahead,

244 pages, Hardcover

First published July 24, 2002

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, thriller, 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.com

Reviews

[Dallas Hockley · Rating 4 out of 5]

This is a solid survey of the popular and the more esoteric research areas in biologically inspired computing. It does well to weave them together to a degree but ultimately it is a survey and has examples of each with many references at the end as well for those inclined to dig deeper. It’s holding up decently for the novice so far over time.