Complexity: A Guided Tour (Google eBook)

Front Cover
Oxford University Press, Mar 2, 2009 - Science - 368 pages
34 Reviews
What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of neurons produce something as extraordinarily complex as consciousness? In this remarkably clear and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate 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. 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. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

What people are saying - Write a review

User ratings

5 stars
4 stars
3 stars
2 stars
1 star

Great introduction to Complexity Science. - Goodreads
Melanie Mitchell is an excellent writer and teacher. - Goodreads
Engaging, easy to read, and consistently mind blowing. - Goodreads
In fact, it was a page turner. - Goodreads

Review: Complexity: A Guided Tour

User Review  - Gaute Friis - Goodreads

A joy This book manages to strike a great balance between depth and accessibility. It is not as shallow as a more journalistic approach might have been, but it still presents its intricate topic in an ... Read full review

Review: Complexity: A Guided Tour

User Review  - Sean - Goodreads

"Analogously, you could, without too much difficulty, design a Turing machine M that counted the 1s in its input, and then run M on the code for a second Turing machine M'. M would simply count the 1s ... Read full review


Life and Evolution in Computers
Computation Writ Large
Network Thinking

Common terms and phrases

About the author (2009)

Melanie Mitchell is Professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute.

Bibliographic information