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Machine Nature: The Coming Age of Bio-Inspired Computing [Hardcover]

Moshe Sipper (Author)
3.5 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

0071387048 978-0071387040 July 24, 2002 1

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 computing­­a technique for building computers out of DNA instead of silicon
  • The deeper questions arising from the arrival of machines that are adaptive, autonomous, lifelike, and perhaps­­one day­­living

Editorial Reviews

From the Back Cover

Machine and nature are not often used in the same sentence. The title of this book may seem, at first glance, to be an oxymoron. For what is natural about a machine? Our collective consciousness is filled with "unnatural machines," frightening Frankenstein monsters that lead their human creators into frozen wastelands of hubris. It is time to move beyond these dusty concepts of natural creation--as ancient as the Greeks' Prometheus--and take a fresh look at the nature of the machines around us.

In Machine Nature, computer scientist Moshe Sipper takes us on a thrilling journey to the terra nova of computing for a compelling look at cutting-edge computers, robots, and machines. Marvels of human ingenuity, computers have extended our reach far beyond the wildest dreams of our grandparents. Yet, for all of their amazing complexity, 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 this fundamental problem. 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.

Undaunted, Sipper guides us through this brave new world--in which machines and computers adapt, evolve, learn, heal, reason, and more--as he explores the very latest technologies. He takes us into engineering labs to investigate "embryonic" chips that self-heal; bridges, artwork, and computer programs that evolve; fuzzy systems that tolerate human imprecision; robots that learn to walk; artificial immune systems that function like their biological counterparts to fight off computer viruses; DNA computing that hopes to replace silicon; and cellular computing, in which millions of tiny computers work in concert, like living cells. Finally, Sipper asks the question that quivers in all our minds when faced with such Promethean marvels: "Can our creations one day take on a life of their own?"

Standing at the front lines of computer theory and practice, Moshe Sipper speaks not just to the issues of today, but to the ideas that will bear fruit in generations to come, all the while unafraid to tackle the deeper questions arising from the arrival of machines that are adaptive, autonomous, lifelike, and perhaps--one day--living.

Moshe Sipper, Ph.D., is an Associate Professor in the Department of Computer Science at Ben-Gurion University in Israel and a Visiting Professor in the Logic Systems Laboratory at the Swiss Federal Institute of Technology in Lausanne. Dr. Sipper has published close to 100 scientific papers in the field of bio-inspired computing, and is the author of Evolution of Parallel Cellular Machines: The Cellular Programming Approach. His Web site is www.moshesipper.com.

Journey to the front lines of computer science, where researchers have crossed the paths of machines and living organisms

"Many people feel they were born too late. Then there are those who deem themselves to have been born too early. I, for one, belong to this latter group. I like to envision a future in which our bodies are on a par with our imagination, where humans will have unchained their earthly shackles, and, perhaps most importantly, a future in which humanity's spirit finally matches its technological wizardry. Maybe that is why my research revolves around what might, prima facie, seem like science fiction: machines and computers that adapt, evolve, learn, heal, reason, and more--accomplishing feats we usually associate only with Nature. . . ."--From Machine Nature

What if Darwinian evolution could occur in machines? It can. Today, computing scientists are using evolution to create not only new objects, but indeed an entirely new way of creating objects. Evolving computer programs, malleable computer chips, self-healing machines braced with artificial immune systems, DNA-based computer "bodies," and entire symphonies of tiny computers that sing to each other like the cells of your own human body--surely these are the dreams of scientists and creative writers alike. Not so. In Machine Nature, computer scientist and theorist Moshe Sipper takes us on a thrilling journey to the front lines of the latest computer technology, along the way tackling the difficult questions that arise from such Promethean marvels: What are the fundamental differences between the Nature-made and the human-made? And can our creations one day take on a life of their own? With elegance and intrepidity, Sipper guides us straight to the clockwork heart of this brave new world, opening our eyes along the way.

About the Author

Moshe Sipper, Ph.D., (Israel) is a senior lecturer in the Department of Computer Science at Ben-Gurion University in Israel and a visiting senior researcher in the Logic Systems Laboratory at the Swiss Federal Institute of Technology in Lausanne.


Product Details

  • Hardcover: 244 pages
  • Publisher: McGraw-Hill; 1 edition (July 24, 2002)
  • Language: English
  • ISBN-10: 0071387048
  • ISBN-13: 978-0071387040
  • Product Dimensions: 9 x 5.3 x 1 inches
  • Shipping Weight: 1.1 pounds
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,034,334 in Books (See Top 100 in Books)

More About the Author

Moshe Sipper is a Professor of Computer Science at Ben-Gurion University of the Negev, Israel. He received his B.A. degree from the Technion---Israel Institute of Technology, and his M.Sc. and Ph.D. degrees from Tel Aviv University, all in computer science. During 1995-2001 he was a Senior Researcher at the Swiss Federal Institute of Technology in Lausanne.

Dr. Sipper's current research focuses on evolutionary computation, mainly as applied to software development and games. At some point or other he also did research in the following areas: bio-inspired computing, cellular automata, cellular computing, artificial self-replication, evolvable hardware, artificial life, artificial neural networks, fuzzy logic, and robotics.

Dr. Sipper has published over 140 scientific papers, and is the author of three books: "Evolved to Win", "Machine Nature: The Coming Age of Bio-Inspired Computing", and "Evolution of Parallel Cellular Machines: The Cellular Programming Approach". He is an Associate Editor of the IEEE Transactions on Computational Intelligence and AI in Games and Genetic Programming and Evolvable Machines, an Editorial Board Member of Memetic Computing, and a past Associate Editor of the IEEE Transactions on Evolutionary Computation.

Dr. Sipper won the 1999 EPFL Latsis Prize, the 2008 BGU Toronto Prize for Academic Excellence in Research, and five HUMIE Awards---Human-Competitive Results Produced by Genetic and Evolutionary Computation (Gold, 2011; Bronze, 2009; Bronze, 2008; Silver, 2007; Bronze, 2005).

 

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5 of 5 people found the following review helpful:
3.0 out of 5 stars An acceptable introduction to the field, October 27, 2002
Amazon Verified Purchase(What's this?)
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."
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1 of 1 people found the following review helpful:
4.0 out of 5 stars A good intro into AI, August 20, 2009
Amazon Verified Purchase(What's this?)
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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membership daemons, configurable processor, computing parlance, cellular computing, adaptive robotics, clump thickness, watch organism, computing scientists, evolvable hardware, traveling salesperson problem, cellular computers, tree genome, fuzzy control system, configurable computing, fitness definition, fitness score, evolutionary computation, artificial evolution, fuzzy system, membership value, synaptic weights
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Los Angeles, San Francisco, San Diego, Bart Simpson, Las Vegas, Charles Darwin, Bugs Bunny, Swiss Federal Institute of Technology, Tree of Life, Aunt Nell, Thomas Ray, University of California, World Wide Web
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