- Note to the Reader
- 1. The Simple Behavior of Complex Systems
- 1.1 Simplicity in Complex Systems
- 1.2 Enion Probability Analysis
- 1.3 Towards an Understanding of Enion Probabilities
- 2. The Physics of Complex Probability
- 2.1 Complex Probability Quantified
- 2.2 Microconstant Probability
- 2.3 The Interpretation of IC-Variable Distributions
- 2.4 Probabilistic Networks
- 2.5 Standard IC-Variables
- 2.6 Complex Probability and Probabilistic Laws
- 2.7 Effective and Critical IC-Values
- 2.A The Method of Arbitrary Functions
- 2.B More on the Tossed Coin
- 2.C Proofs
- 3. The Independence of Complex Probabilities
- 3.1 Stochastic Independence and Selection Rules
- 3.2 Probabilities of Composite Events
- 3.3 Causal Independence
- 3.4 Microconstancy and Independence
- 3.5 The Probabilistic Patterns Explained
- 3.6 Causally Coupled Experiments
- 3.7 Chains of Linked IC-Values
- 3.A Conditional Probability
- 3.B Proofs
- 4. The Simple Behavior of Complex Systems Explained
- 4.1 Representing Complex Systems
- 4.2 Enion Probabilities and Their Experiments
- 4.3 The Structure of Microdynamics
- 4.4 Microconstancy and Independence of Enion Probabilities
- 4.5 Independence of Microdynamic Probabilities
- 4.6 Aggregation of Enion Probabilities
- 4.7 Grand Conditions for Simple Macrolevel Behavior
- 4.8 Statistical Physics
- 4.9 Population Ecology
- 5. Implications for the Philosophy of the Higher-Level Sciences
- 5.1 Reduction
- 5.2 Higher-Level Laws
- 5.3 Causal Relevance
- 5.4 The Social Sciences
- 5.5 The Mathematics of Complex Systems
- 5.6 Are There Simple Probabilities?
- Notes
- Glossary
- References
- Index
Bigger than Chaos
Understanding Complexity through Probability
Add to Cart
Product Details
PAPERBACK
$38.50 • £30.95 • €34.50
ISBN 9780674022591
Publication Date: 09/30/2006
Dumbarton Oaks Medieval Library
I Tatti Renaissance Library
Loeb Classical Library
Murty Classical Library of India