The Engine of Complexity : : Evolution as Computation / / John Mayfield.

• Superior document: Title is part of eBook package: De Gruyter Columbia University Press eBook-Package Backlist 2000-2013
• VerfasserIn: Mayfield, John,
• Place / Publishing House: New York, NY : : Columbia University Press, , [2013]; ©2013
• Year of Publication: 2013
• Language: English
• Physical Description: 1 online resource (416 p.) :; ‹B›77 figures and 8 tables‹/B›
• Other title: Frontmatter --; Contents --; Preface --; Introduction --; 1. The Problem --; 2. Computation --; 3. Structure For Free --; 4. Purposeful Structure --; 5. Improbability And The Engine Of Complexity --; 6. Algorithmic Evolution --; 7. Evolution Within The Body --; 8. Taking Control Of The Cycle --; 9. Complex Systems --; 10. Human Learning And Creativity --; 11. Cultural Evolution --; 12. The Evolution Of Complexity --; 13. Past And Present --; 14. The Future --; Acknowledgments --; Notes --; Glossary --; References --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780231535281; 9783110442472
• DOI: 10.7312/mayf16304
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: John Mayfield.

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.