A Guided Tour
Melanie Mitchell

#Complexity
#Algorithms
#Computation
#Networks
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.
Table of Contents
PART ONE: Background and History
CHAPTER ONE: What Is Complexity?
CHAPTER TWO: Dynamics, Chaos, and Prediction
CHAPTER THREE: Information
CHAPTER FOUR: Computation
CHAPTER FIVE: Evolution
CHAPTER SIX: Genetics, Simplified
CHAPTER SEVEN: Defining and Measuring Complexity
PART TWO: Life and Evolution in Computers
CHAPTER EIGHT: Self-Reproducing Computer Programs
CHAPTER NINE: Genetic Algorithms
PART THREE: Computation Writ Large
CHAPTER TEN: Cellular Automata, Life, and the Universe
CHAPTER ELEVEN: Computing with Particles
CHAPTER TWELEVE: Information Processing in Living Systems
CHAPTER THIRTEEN: How to Make Analogies (if You Are a Computer)
CHAPTER FOURTEEN: Prospects of Computer Modeling
PART FOUR: Network Thinking
CHAPTER FIFTEEN: The Science of Networks
CHAPTER SIXTEEN: Applying Network Science to Real-World Networks
CHAPTER SEVENTEEN: The Mystery of Scaling
CHAPTER EIGHTEEN: Evolution, Complexified
PART FIVE: Conclusion
I CHAPTER NINTEEN: The Past and Future of the Sciences of Complexity
Melanie Mitchell is Professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute.









