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Complexity: A Guided Tour par Melanie…
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Complexity: A Guided Tour (original 2009; édition 2011)

par Melanie Mitchell (Auteur)

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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.… (plus d'informations)
Membre:rothwell
Titre:Complexity: A Guided Tour
Auteurs:Melanie Mitchell (Auteur)
Info:Oxford University Press (2011), Edition: 1, 368 pages
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Complexity : A Guided Tour par Melanie Mitchell (2009)

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» Voir aussi les 7 mentions

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Good discussion of the topics, but it 2021, it feels rather dated. Had previously read about most of it in other works, but this book was a nice summary that got me back up to speed. ( )
  tgraettinger | Sep 8, 2021 |
Good book to refresh everything you studied in university in a not-too-boring way. Also contains an introduction into the field of network science which I did not know about before. ( )
  fmqa | Sep 5, 2021 |
At times on the technical side of a general audience science book, Complexity: A Guided Tour covers the full range of what complexity science means, at its core (in terms of self-organising behaviour, networks and so on) and how it applies to various sciences (neuroscience, evolution, genetics, etc.).

There are some particularly inspiring, fascinating chapters. Highlights for me were her coverage of fractals, of the different ways to measure complexity, and how genetics is increasingly seen as an incredibly complex set of networks of genetic switches and machines. Occasionally I thought there were sections, or even the odd chapter, that were a little superfluous. But on the whole, Mitchell makes the case that this is an incredibly important scientific discipline that may hold profound answers to many fields of science, even if complexity science itself is still in its relative infancy. ( )
1 voter RachDan | Dec 19, 2019 |
This is very very good ( if not as little .... complex ) ( )
  Baku-X | Jan 10, 2017 |
Pretty readable and broad introduction to a lot of ideas. A good source for more detailed things to read on particular subject of interest. ( )
  ndpmcIntosh | Mar 21, 2016 |
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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.

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