Ending Aging: The Rejuvenation Breakthroughs That Could Reverse Human Aging in Our Lifetime
By Aubrey de Grey

A long life in a healthy, vigorous, youthful body has always been one of humanity’s greatest dreams. Recent progress in genetic manipulations and calorie-restricted diets in laboratory animals hold forth the promise that someday science will enable us to exert total control over our own biological aging. Nearly all scientists who study the biology of aging agree that we will someday be able to substantially slow down the aging process, extending our productive, youthful lives. Dr. Aubrey de Grey is perhaps the most bullish of all such researchers. As has been reported in media outlets ranging from 60 Minutes to The New York Times, Dr. de Grey believes that the key biomedical technology required to eliminate aging-derived debilitation and death entirely – technology that would not only slow but periodically reverse age-related physiological decay, leaving us biologically young into an indefinite future – is now within reach.

In Ending Aging, Dr. de Grey and his research assistant Michael Rae describe the details of this biotechnology. They explain that the aging of the human body, just like the aging of man-made machines, results from an accumulation of various types of damage. As with man-made machines, this damage can periodically be repaired, leading to indefinite extension of the machine’s fully functional lifetime, just as is routinely done with classic cars. We already know what types of damage accumulate in the human body, and we are moving rapidly toward the comprehensive development of technologies to remove that damage. By demystifying aging and its postponement for the nonspecialist reader, de Grey and Rae systematically dismantle the fatalist presumption that aging will forever defeat the efforts of medical science.

 
 

 

  Creation: Life and How to Make It
By Steve Grand
Blending aspects of philosophy, computer science, artificial intelligence, biology and computer gaming, Grand attempts to define life, discuss the nature of the human soul and demonstrate how it is possible to create entities that demand to be called both living and intelligent. A tall order indeed, and to wonderful effect, Grand draws heavily on his experience writing computer code (he developed the popular computer game Creatures, in which cyberbeings "live," learn and reproduce). He is at his best describing the problems encountered and the solutions used to animate his virtual universe. While at first glance Grand's definitions of life ("patterns that persist by metabolizing and reproducing" or "high-order persistent phenomena, which endure through intelligent interaction with their environment") might be off-putting, he explains his terms clearly and carefully, guiding the reader comfortably through various levels of discussion. He argues persuasively that life, both real and artificial, is an emergent property, arising inevitably from the interactions of its component parts and, as such, is something much greater than and qualitatively different from the sum of its parts. This view leads Grand to assert that most scientists working in the field of artificial intelligence are taking the wrong tack when they attempt to program intelligence into machines.
 
 

 

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  Growing Up with Lucy: How to Build an Android in Twenty Easy Steps
By Steve Grand
"The first time I created life, I did it the easy way... this time I'm attempting to make a baby the hard way: one piece at a time." Artificial intelligence is the Holy Grail for many scientists. But will we ever be able to build machines that can bring together the knowledge, skills and ideas that would be needed to make up a complete human being? This was the question that fascinated Steve Grand when he decided to set about building 'Lucy'. Called an unscientific charlatan by some, a naive fool by others, this 'self-taught tinkerer' deliberately eschewed large public grants and laboratory affiliations to give himself as much freedom as possible to pursue his revolutionary ideas. In this compelling story of perseverance and despair, of frustration and elation, we live through the birth pains as Steve Grand defies the scientific establishment to create one of the most advanced robots in existence.
 
 

 

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  At Home in the Universe: The Search for the Laws of Self-Organization and Complexity
By Stuart Kaufman
A major scientific revolution has begun, a new paradigm that rivals Darwin's theory in importance. At its heart is the discovery of the order that lies deep within the most complex of systems, from the origin of life, to the workings of giant corporations, to the rise and fall of great civilizations. And more than anyone else, this revolution is the work of one man, Stuart Kauffman, a MacArthur Fellow and visionary pioneer of the new science of complexity. Now, in At Home in the Universe, Kauffman brilliantly weaves together the excitement of intellectual discovery and a fertile mix of insights to give the general reader a fascinating look at this new science – and at the forces for order that lie at the edge of chaos. We all know of instances of spontaneous order in nature – an oil droplet in water forms a sphere, snowflakes have a six-fold symmetry. What we are only now discovering, Kauffman says, is that the range of spontaneous order is enormously greater than we had supposed. Indeed, self-organization is a great undiscovered principle of nature. But how does this spontaneous order arise? Kauffman contends that complexity itself triggers self-organization, or what he calls "order for free," that if enough different molecules pass a certain threshold of complexity, they begin to self-organize into a new entity – a living cell. Kauffman uses the analogy of a thousand buttons on a rug – join two buttons randomly with thread, then another two, and so on. At first, you have isolated pairs; later, small clusters; but suddenly at around the 500th repetition, a remarkable transformation occurs – much like the phase transition when water abruptly turns to ice – and the buttons link up in one giant network. Likewise, life may have originated when the mix of different molecules in the primordial soup passed a certain level of complexity and self-organized into living entities (if so, then life is not a highly improbable chance event, but almost inevitable). Kauffman uses the basic insight of "order for free" to illuminate a staggering range of phenomena. We see how a single-celled embryo can grow to a highly complex organism with over two hundred different cell types. We learn how the science of complexity extends Darwin's theory of evolution by natural selection: that self-organization, selection, and chance are the engines of the biosphere. And we gain insights into biotechnology, the stunning magic of the new frontier of genetic engineering – generating trillions of novel molecules to find new drugs, vaccines, enzymes, biosensors, and more. Indeed, Kauffman shows that ecosystems, economic systems, and even cultural systems may all evolve according to similar general laws, that tissues and terra cotta evolve in similar ways. And finally, there is a profoundly spiritual element to Kauffman's thought. If, as he argues, life were bound to arise, not as an incalculably improbable accident, but as an expected fulfillment of the natural order, then we truly are at home in the universe.
 
 

 

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  Artificial Life: A Report From the Frontier Where Computers Meet Biology
By Steven Levy
The effort to create artificial life is occurring primarily within computer science, although it brings together physicists, microbiologists, mathematicians, ethologists, and others in addition to computer scientists. The computer's ability to simulate system development is being generalized to study evolution and reproduction. Neural networks, while also used for applications other than artificial life simulation, are the primary form considered. As in his earlier book on computer hackers, Levy paints vivid images of the people involved in this work and puts a lot of effort into explanation of technical details, but this book is not easy reading.