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Complexity: A Guided Tour

Popular Science
Engagingly written in an accessible style for non-specialist readers
Discusses the science that underlies much of biology and technology
Winner of the 2010 Phi Beta Kappa Book Award in Science
Longlisted for the Royal Society Prize for Science Books, 2010

By: Melanie Mitchell (Author)

349 pages, 60 b/w photos and illustrations

Oxford University Press USA

Paperback | Nov 2011 | #195134 | ISBN-13: 9780199798100
Availability: Usually dispatched within 48 hours
NHBS Price: £12.49 $16/€15 approx
Hardback | May 2009 | #177889 | ISBN-13: 9780195124415
Availability: Usually dispatched within 6 days Details
NHBS Price: £17.99 $23/€21 approx

About this book

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.

"Melanie Mitchell's book is most enjoyable, truly inspiring, skillfully written, and, above all, beautifully clear. The author's enthusiasm and passion for the field make the book fascinating to read. Her rigor, clarity, and healthy skepticism make the book sound and the field scientifically stronger. It is an excellent and rigorous account of the scientific field of complexity. She proves by example that it is possible to explain complex systems science with rigor, breadth, depth, and- above all-exquisite clarity."
Artificial Life


Contents

Preface
Acknowledgments

Part I: Background and History
Chapter 1: What is Complexity?
Chapter 2: Dynamics, Chaos, and Prediction
Chapter 3: Information
Chapter 4: Computation
Chapter 5: Evolution
Chapter 6: Genetics, Simplified
Chapter 7: Defining and Measuring Complexity

Part II: Life and Evolution in Computers
Chapter 8: Self-Reproducing Programs
Chapter 9: Genetic Algorithms

Part III: Computation Writ Large
Chapter 10: Cellular Automata, Life, and the Universe
Chapter 11: Computing with Particles
Chapter 12: Information Processing in Living Systems
Chapter 13: How to Make Analogies (If You Are A Computer)
Chapter 14: Prospects of Computer Modeling

Part IV: Network Thinking
Chapter 15: The Science of Networks
Chapter 16: Applying Network Science to Real-World Networks
Chapter 17: The Mystery of Scaling
Chapter 18: Evolution, Complexified

Part V: Conclusion
Chapter 19: The Past and Future of the Sciences of Complexity
Notes
Bibliography
Index


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