Table of contents for Complexity : a guided tour / Melanie Mitchell.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


Counter
 
Contents
Preface 
Acknowledgments 
Part 1: 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

Library of Congress Subject Headings for this publication:

Complexity (Philosophy).