Engine of Complexity

Regular price €51.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=John E. Mayfield
A01=John Mayfield
Age Group_Uncategorized
Age Group_Uncategorized
Author_John E. Mayfield
Author_John Mayfield
automatic-update
Category1=Non-Fiction
Category=PSAJ
COP=United States
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Format=BB
Format_Hardback
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch

Product details

  • ISBN 9780231163040
  • Format: Hardback
  • Dimensions: 152 x 229mm
  • Publication Date: 09 Jul 2013
  • Publisher: Columbia University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns
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 social orders can and do arise based on information theory and computational science. Intended for the intellectually adventuresome, this book challenges and rewards readers with a nuanced understanding of evolution and complexity that offers consistent, durable, and coherent explanations for major aspects of our life experiences. Numerous examples throughout the book illustrate evolution and complexity formation in action and highlight the core function of computation lying at the work's heart.
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.

More from this author