A fascinating look at the exciting new sciences of complexity and what they reveal about everything from ant colonies to the World Wide Web, now available in paperback
A fascinating look at the exciting new sciences of complexity and what they reveal about everything from ant colonies to the World Wide Web, now available in paperbackHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Melanie Mitchell is Professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute.
Inhaltsangabe
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
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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