- Hardcover: 244 pages
- Publisher: MIT Press; First Printing edition (1 Aug 2002)
- Language English
- ISBN-10: 0071387048
- ISBN-13: 978-0071387040
- Product Dimensions: 22.8 x 13.5 x 2.7 cm
- Average Customer Review: 3.0 out of 5 stars See all reviews (2 customer reviews)
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Amazon Bestsellers Rank:
826,924 in Books (See Top 100 in Books)
- #48 in Books > Science & Nature > Popular Science > Artificial Intelligence
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More About the Author
Product Description
Product Description
This work offers 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, including: "Embryonic" chips that self-heal and artificial immune systems that function like their biological counterparts to fight off computer viruses; DNA computing - a technique for building computers out of DNA instead of silicon; and the deeper questions arising from the arrival of machines that are adaptive, autonomous, lifelike, and perhaps - one day - living.
From the Publisher
Fascinating, forward-looking, cutting edge computer science theory The author is on the front lines of computer science Elegantly written take on the near and far future of computing technology
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Most Helpful Customer Reviews
3 of 3 people found the following review helpful:
4.0 out of 5 stars
Authoritative book written by a researcher.,
By
This review is from: Machine Nature: The Coming Age of Bio-inspired Computing (Hardcover)
I read this book because it was on the reading list of an OU course on Natural and Artificial Intelligence (M366). The author is a researcher who has first hand experience in many of the areas written about.
The book gives a good overview of research carried out in bio-inspired computing. The author has been involved in research in many areas that are discussed and also looks at research carried out all over the world. However it is more of a popular science book than a text to aid serious study. This book compares favourably with `Imitation of Life' which was also on the reading list of the OU course which is due, I believe, to the fact the Moshe Sipper is a researcher while the author of `Imitation of Life' is a technical author. Geoffrey Cockayne (who has also reviewed this book) found the style irritating. I agree that the scenarios the author uses to illustrate a theme come across somewhat trivial for a book of this nature. If you can forgive the informal style you will be rewarded with informative text. The informative style extends to the chapter headings which are cryptic and do not clearly describe the chapter subject. This is unfortunate as it makes it difficult to identify the subject each chapter deals with. Note, however, that this book was published in 2002 which, for a fast evolving area of research makes the book far from current.
3 of 3 people found the following review helpful:
2.0 out of 5 stars
The hitchhiker's guide to bio-computing,
By
This review is from: Machine Nature: The Coming Age of Bio-inspired Computing (Hardcover)
This book contains a very useful overview of the field of biologically inspired computing. Unfortunately, the author's style is often irritatingly homely, bordering on the patronising. Chapter two for example introduces genetic programming with an infantile description of a group of friends gathering around a TV to watch a football match. In the same chapter a programmer is described as a 'genie who grants computer wishes to users' (p.33). I seriously doubt that potential readers of this book are sufficiently dim as to need to be addressed in such a manner.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
3.5 out of 5 stars (2 customer reviews) 5 of 5 people found the following review helpful:
3.0 out of 5 stars
An acceptable introduction to the field,
By Douglas M. Keenan - Published on Amazon.com
This review is from: Machine Nature: The Coming Age of Bio-inspired Computing (Hardcover)
Likely to market a larger audience, this book presents an overview - and only an overview - of modern advances in artificial life. (It does contain good suggestions for further reading however.) Dr. Sipper always makes for interesting and entertaining reading but those looking for more technical details might consider his earlier effort, the highly recommended "Evolution of Parallel Cellular Machines."
1 of 1 people found the following review helpful:
4.0 out of 5 stars
A good intro into AI,
By J. Rodgers - Published on Amazon.com
This review is from: Machine Nature: The Coming Age of Bio-inspired Computing (Hardcover)
It is not for mad scientists wanting to build a robot army for world domination, it is about getting computers to solve problems by mimicking the natural world. From Neural networks to Evolutionary algorithms, each of the books chapters cover a different aspect of nature inspired artificial intelligence, and real world applications each approach could be, or is used for. It is entertaining, fascinating and an easy enough read. The big thing I got out of this book is that with a little creative programming, computers can be used for so much more then simple number crunching.
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