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1 |
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|a Mayfield, John E.,
|e author.
|0 http://id.loc.gov/authorities/names/n2013008818
|
| 245 |
1 |
4 |
|a The engine of complexity :
|b evolution as computation /
|c John E. Mayfield.
|
| 260 |
|
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|a New York :
|b Columbia University Press,
|c [2013]
|
| 300 |
|
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|a 1 online resource (xiv, 398 pages) :
|b illustrations
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
|
| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
|
| 588 |
0 |
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|a Print version record.
|
| 520 |
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|a 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 new title, John Mayfield elegantly synthesizes core concepts from across 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. This is a big picture book intended for the intellectually adventuresome. While.
|
| 505 |
0 |
0 |
|t Frontmatter --
|t Contents --
|t Preface --
|t Introduction --
|t 1. The Problem --
|t 2. Computation --
|t 3. Structure For Free --
|t 4. Purposeful Structure --
|t 5. Improbability And The Engine Of Complexity --
|t 6. Algorithmic Evolution --
|t 7. Evolution Within The Body --
|t 8. Taking Control Of The Cycle --
|t 9. Complex Systems --
|t 10. Human Learning And Creativity --
|t 11. Cultural Evolution --
|t 12. The Evolution Of Complexity --
|t 13. Past And Present --
|t 14. The Future --
|t Acknowledgments --
|t Notes --
|t Glossary --
|t References --
|t Index.
|
| 546 |
|
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|a English.
|
| 650 |
|
0 |
|a Biology
|x Mathematical models.
|0 http://id.loc.gov/authorities/subjects/sh85014211
|
| 650 |
|
0 |
|a Evolution (Biology)
|x Mathematical models.
|
| 650 |
|
0 |
|a Biological control systems
|x Mathematical models.
|
| 650 |
|
0 |
|a Computational complexity.
|0 http://id.loc.gov/authorities/subjects/sh85029473
|
| 650 |
|
7 |
|a NATURE
|x Reference.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x Biology.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x General.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x System Theory.
|2 bisacsh
|
| 650 |
|
7 |
|a Biological control systems
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00832205
|
| 650 |
|
7 |
|a Biology
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00832431
|
| 650 |
|
7 |
|a Computational complexity.
|2 fast
|0 (OCoLC)fst00871991
|
| 650 |
|
7 |
|a Evolution (Biology)
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00917308
|
| 655 |
|
0 |
|a Electronic books.
|
| 655 |
|
4 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|a Mayfield, John E.
|t Engine of complexity.
|d New York : Columbia University Press, [2013]
|z 9780231163040
|w (DLC) 2013005728
|w (OCoLC)824353142
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|t Library of Congress classification
|a QH323.5 .M389 2013eb
|l Online
|c UC-FullText
|u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=e000xna&AN=598304
|z eBooks on EBSCOhost
|g ebooks
|i 12391643
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