3D modeling
A01=John H. Miller
A01=Scott E. Page
Adaptive algorithm
Adaptive system
Addition
Analogy
Auction
Author_John H. Miller
Author_Scott E. Page
Automaton
Behavior
Behavioral economics
Boolean function
Brittleness
Calculation
Category=JHBC
Category=PBWS
Cellular automaton
Chaos theory
Coevolution
Cognition
Complex adaptive system
Complexity
Computation
Computational model
Computer simulation
Dimension
Economics
Ecosystem
Emergence
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Explanation
General equilibrium theory
Genetic algorithm
Heuristic
High- and low-level
Homomorphism
Humidity
Hypothesis
Implementation
Inference
Initial condition
Invisible hand
Iteration
Mathematical optimization
Mathematics
Microstructure
Molecule
Numeracy
Parameter
Percentage
Phenomenon
Political party
Power law
Prediction
Probability
Problem domain
Quantity
Randomness
Requirement
Result
Sampling (statistics)
Santa Fe Institute
Science
Scientist
Self-organization
Simplicity
Social behavior
Social science
Sophistication
Sorting
Statistic
Theorem
Theory
Thought
Trade-off
Product details
- ISBN 9780691127026
- Weight: 397g
- Dimensions: 152 x 235mm
- Publication Date: 25 Mar 2007
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
John H. Miller is professor of economics and social sciences at Carnegie Mellon University. Scott E. Page is professor of complex systems, political science, and economics at the University of Michigan. He is the author of "The Difference" (Princeton).
