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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
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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
Produktdetails
- Produktdetails
- Verlag: Oxford University Press Inc
- Seitenzahl: 366
- Erscheinungstermin: 1. September 2011
- Englisch
- Abmessung: 234mm x 156mm x 22mm
- Gewicht: 580g
- ISBN-13: 9780199798100
- ISBN-10: 0199798109
- Artikelnr.: 33372498
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Oxford University Press Inc
- Seitenzahl: 366
- Erscheinungstermin: 1. September 2011
- Englisch
- Abmessung: 234mm x 156mm x 22mm
- Gewicht: 580g
- ISBN-13: 9780199798100
- ISBN-10: 0199798109
- Artikelnr.: 33372498
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Melanie Mitchell is Professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute.
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
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
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







