| Description |
1 online resource (xiv, 398 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Biology -- Mathematical models.
|
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Biology -- Mathematical models. |
|
Evolution (Biology) -- Mathematical models.
|
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Evolution (Biology) -- Mathematical models. |
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Biological control systems -- Mathematical models.
|
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Biological control systems -- Mathematical models. |
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Computational complexity.
|
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Computational complexity. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Mayfield, John E. Engine of complexity. New York : Columbia University Press, [2013] 9780231163040 (DLC) 2013005728 (OCoLC)824353142 |
| ISBN |
9780231535281 (electronic book) |
|
0231535287 (electronic book) |
|
9780231163040 |
|
0231163045 |
|
