Overview

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.

Full Product Details

Author:   Melanie Mitchell (Professor of Computer Science, Professor of Computer Science, Portland State University)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 15.70cm , Height: 3.10cm , Length: 23.60cm
Weight:   0.635kg
ISBN:  

9780195124415

ISBN 10:   0195124413
Pages:   368
Publication Date:   28 May 2009
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of 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

Reviews

She captures the excitement of research. Ian D. Couzin, Science She writes in an unpretentious style with frequent entertaining and useful anecdotes. Iain D. Couzin. Science

She captures the excitement of research. * Ian D. Couzin, Science *

She captures the excitement of research. Ian D. Couzin, Science She writes in an unpretentious style with frequent entertaining and useful anecdotes. Iain D. Couzin. Science

Author Information

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

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