Title Statements
- Full title :Natural Complexity.
Summary
This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems--with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases. Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models.
Read More ↓Edition Statements
- Publication Date:2017.
Publication Statements
- Publisher(s):Princeton University Press
- Language:eng
- Publication Date:2017.
The Physical Object
- Description:1 online resource.
Edition Identifiers
- ISBN:1400885493, 9781400885497
- oclc:ocn987013262
- LC Classification:Q175.32.C65
Table of Contents
Part 1. What Is complexity?: Complexity Is not simple -- Randomness Is not complexity -- Chaos Is not complexity -- Open dissipative systems -- Natural complexity -- About the computer programs listed in this book -- Part 2. Iterated growth: Cellular automata in one spatial dimension -- Cellular automata in two spatial dimensions -- A zoo of 2-D structures from simple rules -- Agents, ants, and highways -- Emergent structures and behaviors -- Part 3. Aggregation: Diffusion-limited aggregation -- Numerical implementation -- A representative simulation -- A zoo of aggregates -- Fractal geometry -- Self-similarity and scale invariance -- Part 4. Percolation: Percolation in one dimension -- Percolation in two dimensions -- Cluster sizes -- Fractal clusters -- Is it really a power law? -- Criticality -- Part 5. Sandpiles: Model definition -- Numerical implementation -- A representative simulation -- Measuring avalanches -- Self-organized criticality -- Part 6. Forest fires: Model definition -- Numerical implementation -- A representative simulation -- Model behavior -- Back to criticality -- The pros and cons of wildfire management -- Part 7. Traffic jams: model definition -- Numerical…
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