Complexity : a guided tour
著者
書誌事項
Complexity : a guided tour
（Oxford paperbacks）
Oxford University Press, 2011, c2009
- : pbk
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注記
"First issued as an Oxford University Press paperback, 2011"--T.p. verso
Includes bibliographical references (p. [326]-336) and index
内容説明・目次
内容説明
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.
目次
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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