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Self-Organized Complexity in the Physical, Biological, and Social Sciences

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Suggested Citation

National Academy of Sciences. 2002. Self-Organized Complexity in the Physical, Biological, and Social Sciences. Washington, DC: The National Academies Press.

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Publication Info

124 pages |10 x 12.5

Table of Contents

skim chapter
Front Matter i-vi
Introduction: Self-organized complexity in the physical, biological, and social sciences 2463-2465
Fractal dynamics in physiology: Alterations with disease and aging 2466-2472
Allometric scaling of metabolic rate from molecules and mitochondria to cells and mammals 2473-2478
Proteins: Paradigms of complexity 2479-2480
Turbulence in nature and in the laboratory 2481-2486
What might we learn from climate forecasts? 2487-2492
'Waves' vs. 'particles' in the atmosphere's phase space: A pathway to long-range forecasting? 2493-2500
Positive feedback, memory, and the predictability of earthquakes 2501-2508
Unified scaling law for earthquakes 2509-2513
Self-organization in leaky threshold systems: The influence of near-mean field dynamics and its implications for earthquakes, neurobiology, and forecasting 2514-2521
Predictability of catastrophic events: Material rupture, earthquakes, turbulence, financial crashes, and human births 2522-2529
Self-organization, the cascade model, and natural hazards 2530-2537
Complexity and robustness 2538-2545
Natural variability of atmospheric temperatures and geomagnetic intensity over a wide range of time scales 2546-2553
Wavelet analysis of shoreline change on the Outer Banks of North Carolina: An example of complexity in the marine sciences 2554-2560
Self-organized complexity in economics and finances 2561-2565
Random graph models of social networks 2566-2572
Scaling phenomena in the Internet: Critically examining criticality 2573-2580

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