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The Engine of Complexity: Evolution as Computation
John Mayfield
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Description for The Engine of Complexity: Evolution as Computation
Hardback. Num Pages: 416 pages, 77 figures. BIC Classification: PSAJ. Category: (P) Professional & Vocational. Dimension: 235 x 160 x 31. Weight in Grams: 706.
The concepts of evolution and complexity theory have become part of the intellectual ether permeating the life sciences, the social and behavioral sciences, and, more recently, management science and economics. In this book, John E. Mayfield elegantly synthesizes core concepts from multiple disciplines to offer a new approach to understanding how evolution works and how complex organisms, structures, organizations, and...
Read moreProduct Details
Publisher
Columbia University Press United States
Number of pages
416
Format
Hardback
Publication date
2013
Condition
New
Weight
714g
Number of Pages
416
Place of Publication
New York, United States
ISBN
9780231163040
SKU
V9780231163040
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About John Mayfield
John E. Mayfield is professor emeritus of genetics, development, and cell biology at Iowa State University. He has also taught at the California Institute of Technology, Carnegie-Mellon University, and Harvard University Biological Laboratories. His research focuses on the development of a generalized theory of evolution that relates naturally and easily to fundamental mathematical and physical principles.
Reviews for The Engine of Complexity: Evolution as Computation
The Engine of Complexity is a well-written and erudite book of great importance. It promises to be the best single introduction to the informational concept of evolution, all while being clear and easy to read.
Geoffrey M. Hodgson, University of Hertfordshire Wide ranging, ambitious, and clearly written, John E. Mayfield's The Engine of Complexity shows how information flowing...
Read moreGeoffrey M. Hodgson, University of Hertfordshire Wide ranging, ambitious, and clearly written, John E. Mayfield's The Engine of Complexity shows how information flowing...