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Hidden Order: How Adaptation
Builds Complexity

by John H, Holland

Reading, Massachusetts: Addison-Wesley, 1995

How does a disease such as AIDS manage to destroy the immune system? How does a city like New York or Tokyo manage to deliver food, medicine, clothing, and other essentials to millions of inhabitants without breaking down? The functioning of such immensely complex systems remains a mystery. But through his work at the Santa Fe Institute and at the University of Michigan, John Holland and his coworkers now stand on the threshold of a solution.

The father of the field of genetic algorithms, and one of the pioneers of the new science of complexity, Holland has been at the center of the emerging field of complex adaptive systems (cas) since its inception.

This landmark book offers for the first time a coherent synthesis of this nascent discipline, a summing up which carries on every page the weight of Holland's authority and distinctive point of view. This book emphasizes the search for general principles that govern cas behavior, enlarging on the intuitions of a broad spectrum of scientists, and it includes a computer model that applies to the full range of cas. Holland concludes with a description of what we might do to enhance our theoretical understanding of cas. He suggests ways in which theory can provide useful guidelines for attacking the perplexing cas problems that stretch our resources and place our world in jeopardy.

John H. Holland originated the field of genetic algorithms, a science that may one day allow computers to evolve flexible intelligence. He is Professor of Computer Science and Electrical Engineering and Professor of Psychology at the University of Michigan. He is a recipient of the prestigious MacArthur Fellow award, and is co-chairman of the Santa Fe Institute Steering Committee.

 
   
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