Complexity :: a guided tour /
"What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide W...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford [England] ; New York :
Oxford University Press,
2009.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between complexity and evolution, artificial intelligence, computation, genetics, information processing, and many other fields"--Provided by publisher |
| Beschreibung: | 1 online resource (xvi, 349 pages) : illustrations, map |
| Bibliographie: | Includes bibliographical references (pages 326-336) and index. |
| ISBN: | 9780199724574 0199724571 1282328239 9781282328235 9786612328237 6612328231 9780199741021 0199741026 |
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| 245 | 1 | 0 | |a Complexity : |b a guided tour / |c Melanie Mitchell. |
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| 504 | |a Includes bibliographical references (pages 326-336) and index. | ||
| 505 | 0 | |a Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity. | |
| 520 | |a "What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between complexity and evolution, artificial intelligence, computation, genetics, information processing, and many other fields"--Provided by publisher | ||
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Datensatz im Suchindex
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| author | Mitchell, Melanie (Computer scientist) |
| author_GND | http://id.loc.gov/authorities/names/nb2011005742 |
| author_facet | Mitchell, Melanie (Computer scientist) |
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| contents | Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity. |
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| discipline | Allgemeine Naturwissenschaft |
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index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. 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| id | ZDB-4-EBA-ocn459793917 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:53Z |
| institution | BVB |
| isbn | 9780199724574 0199724571 1282328239 9781282328235 9786612328237 6612328231 9780199741021 0199741026 |
| language | English |
| oclc_num | 459793917 |
| open_access_boolean | |
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| physical | 1 online resource (xvi, 349 pages) : illustrations, map |
| psigel | ZDB-4-EBA |
| publishDate | 2009 |
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| publisher | Oxford University Press, |
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| spelling | Mitchell, Melanie (Computer scientist) https://id.oclc.org/worldcat/entity/E39PBJhCFBRbYpVRjtXPTWb68C http://id.loc.gov/authorities/names/nb2011005742 Complexity : a guided tour / Melanie Mitchell. Oxford [England] ; New York : Oxford University Press, 2009. 1 online resource (xvi, 349 pages) : illustrations, map text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references (pages 326-336) and index. Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity. "What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between complexity and evolution, artificial intelligence, computation, genetics, information processing, and many other fields"--Provided by publisher Print version record. English. Complexity (Philosophy) http://id.loc.gov/authorities/subjects/sh85029376 Complexité (Philosophie) SCIENCE Philosophy & Social Aspects. bisacsh Complexity (Philosophy) fast has work: Complexity (Text) https://id.oclc.org/worldcat/entity/E39PCGywpHD7B7G8qjkkQwh3jP https://id.oclc.org/worldcat/ontology/hasWork Print version: Mitchell, Melanie. Complexity. Oxford [England] ; New York : Oxford University Press, 2009 9780195124415 0195124413 (DLC) 2008023794 (OCoLC)216938473 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=288569 Volltext |
| spellingShingle | Mitchell, Melanie (Computer scientist) Complexity : a guided tour / Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity. Complexity (Philosophy) http://id.loc.gov/authorities/subjects/sh85029376 Complexité (Philosophie) SCIENCE Philosophy & Social Aspects. bisacsh Complexity (Philosophy) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85029376 |
| title | Complexity : a guided tour / |
| title_auth | Complexity : a guided tour / |
| title_exact_search | Complexity : a guided tour / |
| title_full | Complexity : a guided tour / Melanie Mitchell. |
| title_fullStr | Complexity : a guided tour / Melanie Mitchell. |
| title_full_unstemmed | Complexity : a guided tour / Melanie Mitchell. |
| title_short | Complexity : |
| title_sort | complexity a guided tour |
| title_sub | a guided tour / |
| topic | Complexity (Philosophy) http://id.loc.gov/authorities/subjects/sh85029376 Complexité (Philosophie) SCIENCE Philosophy & Social Aspects. bisacsh Complexity (Philosophy) fast |
| topic_facet | Complexity (Philosophy) Complexité (Philosophie) SCIENCE Philosophy & Social Aspects. |
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