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
The deeper questions arising from the arrival of machines that are adaptive, autonomous, lifelike, and perhaps��one day��living

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.

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