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This book is a collection of essays exploring adaptive systems from many perspectives, ranging from computational applications to models of adaptation in living and social systems. The essays on computation discuss history, theory, applications, and possible threats of adaptive and evolving computations systems. The modeling chapters cover topics such as evolution in microbial populations, the evolution of cooperation, and how ideas about evolution relate to economics.The title Perspectives on Adaptation in Natural and Artificial Systems honors John Holland, whose 1975 Book, Adaptation in Natural and Artificial Systems has become a classic text for many disciplines in which adaptation play a central role. The essays brought together here were originally written to honor John Holland, and span most of the different areas touched by his wide-ranging and influential research career. The authors include some of the most prominent scientists in the fields of artificial intelligence evolutionary computation, and complex adaptive systems. Taken together, these essays present a broad modern picture of current research on adaptation as it relates to computers, living systems, society, and their complex interactions.
This collection investigates the fundamental mechanisms of adaptation across both biological and computational domains, honoring the foundational work of John Holland. The editors, including prominent researchers in artificial intelligence and complex systems, compile a series of essays that bridge the gap between natural evolutionary processes and artificial adaptive systems. By synthesizing perspectives from biology, economics, and computer science, the text argues that adaptation serves as a unifying principle for understanding complex interactions in diverse environments.
What You Will Find
Experts recognize this volume as a significant tribute to John Holland's influence on the study of complexity. Readers frequently note the academic density of the prose, which is intended for researchers and students familiar with the foundational concepts of evolutionary computation.
Page Count:
324
Publication Date:
2005-02-24
Publisher:
Oxford University Press
ISBN-10:
0195162927
ISBN-13:
9780195162929
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