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Complexity: A Guided Tour

Complexity: A Guided Tour

by Melanie Mitchell

First published 2009 · 288 pages · about 5 hours to read

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About this book

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.

Will you like it?

Readers interested in how large systems of simple parts behave, from ant colonies to brains, will find a clear introduction here. Mitchell writes in a patient, conversational voice and moves through biology, computing and economics with concrete examples.

  • emergence
  • self-organization
  • reductionism
  • collective behavior
  • adaptive systems

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Quick answers

What age is Complexity: A Guided Tour for?
Adults.
Is Complexity: A Guided Tour a standalone?
Yes, it stands on its own.
Does Complexity: A Guided Tour have violence, sex or strong language?
Nothing a reader needs warning about.

Written with AI from what's known about the book.

Reader's guide

Themesemergence, self-organization, reductionism, collective behavior, adaptation and evolution, limits of prediction, interdisciplinary science

emergence · self-organization · reductionism · collective behavior · adaptation and evolution · limits of prediction · interdisciplinary science

StyleExpository prose written for general readers, with a clear and conversational voice. Mitchell uses concrete examples, short explanations of technical ideas, and a steady pace through many fields. The chapters move from one example to another, so the book reads as a guided tour rather than a single argument. Its length is about 288 pages, and it includes notes and a bibliography.

Expository prose written for general readers, with a clear and conversational voice. Mitchell uses concrete examples, short explanations of technical ideas, and a steady pace through many fields. The chapters move from one example to another, so the book reads as a guided tour rather than a single argument. Its length is about 288 pages, and it includes notes and a bibliography.

How it was writtenMelanie Mitchell is a computer scientist who has worked at the Santa Fe Institute, a research center founded in 1984 for interdisciplinary study of complex systems. The book was published by Oxford University Press in 2009 and draws on her research and the institute's work.

Melanie Mitchell is a computer scientist who has worked at the Santa Fe Institute, a research center founded in 1984 for interdisciplinary study of complex systems. The book was published by Oxford University Press in 2009 and draws on her research and the institute's work.

How it was receivedThe book is widely read as an introduction to complexity science for non-specialists. It is commonly recommended to students and general readers interested in emergence, networks and adaptive systems. Its reputation rests on its clarity and its balanced account of a field that has no single agreed theory.

The book is widely read as an introduction to complexity science for non-specialists. It is commonly recommended to students and general readers interested in emergence, networks and adaptive systems. Its reputation rests on its clarity and its balanced account of a field that has no single agreed theory.

Questions to discussWhat does it mean for a system to be more than the sum of its parts, and does the book make the case convincingly?

These may talk about the whole book.

  1. What does it mean for a system to be more than the sum of its parts, and does the book make the case convincingly?
  2. Why do simple local rules, like those followed by ants, often produce global patterns that look intentional?
  3. Mitchell argues that traditional reductionism is not enough for complex systems. Where do you think reductionist methods still work well, and where do they fail?
  4. How does the book connect biological evolution to computing and artificial intelligence, and do you find those links persuasive?
  5. Which example in the book, such as the ant colony, the immune system or the economy, did you find most useful for understanding complexity?
  6. Given the field's open questions, do you think a general theory of complexity is possible?
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