Complexity A Guided Tour

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Format: Hardcover
Pub. Date: 2009-04-01
Publisher(s): Oxford University Press
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Summary

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 WideWeb, 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 fromsimple 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 interdisciplinarystrategies, 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, artificialintelligence, computation, genetics, information processing, and many other fields. Richly illustrated and vividly written, Complexity: A Guided Tour offers a comprehensive and eminently comprehensible overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for the field's contribution to solving some ofthe most important scientific questions of our time.

Author Biography


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

Table of Contents

Prefacep. ix
Acknowledgmentsp. xv
Background and History
What Is Complexity?p. 3
Dynamics, Chaos, and Predictionp. 15
Informationp. 40
Computationp. 56
Evolutionp. 71
Genetics, Simplifiedp. 88
Defining and Measuring Complexityp. 94
Life and Evolution in Computers
Self-Reproducing Computer Programsp. 115
Genetic Algorithmsp. 127
Computation Writ Large
Cellular Automata, Life, and the Universep. 145
Computing with Particlesp. 160
Information Processing in Living Systemsp. 169
How to Make Analogies (if You Are a Computer)p. 186
Prospects of Computer Modelingp. 209
Network Thinking
The Science of Networksp. 227
Applying Network Science to Real-World Networksp. 247
The Mystery of Scalingp. 258
Evolution, Complexifiedp. 273
Conclusion
The Past and Future of the Sciences of Complexityp. 291
Notesp. 304
Bibliographyp. 326
Indexp. 337
Table of Contents provided by Ingram. All Rights Reserved.

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