The engine of complexity :: evolution as computation /
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 disciplin...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Columbia University Press,
[2013]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xiv, 398 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780231535281 0231535287 |
Internformat
MARC
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| 100 | 1 | |a Mayfield, John E., |e author. | |
| 245 | 1 | 4 | |a The engine of complexity : |b evolution as computation / |c John E. Mayfield. |
| 260 | |a New York : |b Columbia University Press, |c [2013] | ||
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| 520 | |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 | |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 | 6 | |a Biologie |x Modèles mathématiques. | |
| 650 | 6 | |a Régulation (Biologie) |x Modèles mathématiques. | |
| 650 | 6 | |a Complexité de calcul (Informatique) | |
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| 758 | |i has work: |a The engine of complexity (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFJXctdxQjXCrrjdbRHgrq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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Datensatz im Suchindex
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| adam_text | |
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| author | Mayfield, John E. |
| author_facet | Mayfield, John E. |
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| contents | 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. |
| ctrlnum | (OCoLC)849935838 |
| dewey-full | 570 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570 |
| dewey-search | 570 |
| dewey-sort | 3570 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| format | Electronic eBook |
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| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:24Z |
| institution | BVB |
| isbn | 9780231535281 0231535287 |
| language | English |
| oclc_num | 849935838 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiv, 398 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Columbia University Press, |
| record_format | marc |
| spelling | Mayfield, John E., author. The engine of complexity : evolution as computation / John E. Mayfield. New York : Columbia University Press, [2013] 1 online resource (xiv, 398 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. 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. 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. English. Biology Mathematical models. http://id.loc.gov/authorities/subjects/sh85014211 Evolution (Biology) Mathematical models. Biological control systems Mathematical models. Computational complexity. http://id.loc.gov/authorities/subjects/sh85029473 Biologie Modèles mathématiques. Régulation (Biologie) Modèles mathématiques. Complexité de calcul (Informatique) NATURE Reference. bisacsh SCIENCE Life Sciences Biology. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE System Theory. bisacsh Biological control systems Mathematical models fast Biology Mathematical models fast Computational complexity fast Evolution (Biology) Mathematical models fast has work: The engine of complexity (Text) https://id.oclc.org/worldcat/entity/E39PCFJXctdxQjXCrrjdbRHgrq https://id.oclc.org/worldcat/ontology/hasWork Print version: Mayfield, John E. Engine of complexity. New York : Columbia University Press, [2013] 9780231163040 (DLC) 2013005728 (OCoLC)824353142 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=598304 Volltext |
| spellingShingle | Mayfield, John E. The engine of complexity : evolution as computation / 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. Biology Mathematical models. http://id.loc.gov/authorities/subjects/sh85014211 Evolution (Biology) Mathematical models. Biological control systems Mathematical models. Computational complexity. http://id.loc.gov/authorities/subjects/sh85029473 Biologie Modèles mathématiques. Régulation (Biologie) Modèles mathématiques. Complexité de calcul (Informatique) NATURE Reference. bisacsh SCIENCE Life Sciences Biology. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE System Theory. bisacsh Biological control systems Mathematical models fast Biology Mathematical models fast Computational complexity fast Evolution (Biology) Mathematical models fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85014211 http://id.loc.gov/authorities/subjects/sh85029473 |
| title | The engine of complexity : evolution as computation / |
| title_alt | 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. |
| title_auth | The engine of complexity : evolution as computation / |
| title_exact_search | The engine of complexity : evolution as computation / |
| title_full | The engine of complexity : evolution as computation / John E. Mayfield. |
| title_fullStr | The engine of complexity : evolution as computation / John E. Mayfield. |
| title_full_unstemmed | The engine of complexity : evolution as computation / John E. Mayfield. |
| title_short | The engine of complexity : |
| title_sort | engine of complexity evolution as computation |
| title_sub | evolution as computation / |
| topic | Biology Mathematical models. http://id.loc.gov/authorities/subjects/sh85014211 Evolution (Biology) Mathematical models. Biological control systems Mathematical models. Computational complexity. http://id.loc.gov/authorities/subjects/sh85029473 Biologie Modèles mathématiques. Régulation (Biologie) Modèles mathématiques. Complexité de calcul (Informatique) NATURE Reference. bisacsh SCIENCE Life Sciences Biology. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE System Theory. bisacsh Biological control systems Mathematical models fast Biology Mathematical models fast Computational complexity fast Evolution (Biology) Mathematical models fast |
| topic_facet | Biology Mathematical models. Evolution (Biology) Mathematical models. Biological control systems Mathematical models. Computational complexity. Biologie Modèles mathématiques. Régulation (Biologie) Modèles mathématiques. Complexité de calcul (Informatique) NATURE Reference. SCIENCE Life Sciences Biology. SCIENCE Life Sciences General. SCIENCE System Theory. Biological control systems Mathematical models Biology Mathematical models Computational complexity Evolution (Biology) Mathematical models |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=598304 |
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