Complex adaptive systems an introduction to computational models of social life.

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 challen...

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Bibliographic Details
Main Authors:	Miller, John H, Page, Scott E
Format:	eBook Book
Language:	English
Published:	Princeton, N.J Princeton University Press 2007 Princeton Univ. Press
Edition:	STU - Student edition
Series:	Princeton Studies in Complexity
Subjects:	3D modeling Adaptive algorithm Adaptive system Addition Analogy Anpassung Applied Auction Automaton Behavior Behavioral economics Boolean function Brittleness Calculation Cellular automaton Chaos theory Coevolution Cognition Complex adaptive system Complexity Computation Computational methods Computational model Computer simulation Computermodellen Decentralization Dimension Economics Ecosystem Emergence Explanation General equilibrium theory Genetic algorithm Heuristic High- and low-level Homomorphism Humidity Hypothesis Implementation Inference Initial condition Invisible hand Iteration JHB JHBC Mathematical models Mathematical optimization MATHEMATICS MATHEMATICS / Applied Mathematik Methodology Microstructure Modellierung Molecule Networks Numeracy Organization Parameter PBWS Percentage Phenomenon Political party Power law Prediction Probability Problem domain Quantity Randomness Requirement Research methods Result Sampling (statistics) Santa Fe Institute Science Scientist Self-organization Simplicity Social behavior SOCIAL SCIENCE SOCIAL SCIENCE / General Social sciences Social systems Sociale relaties Sociology Softwareentwicklung Sophistication Sorting Soziale Beziehungen Soziales Netzwerk Statistic Theorem Theorie Theory Thought Trade-off Explanation Cognition Hypothesis Result Complexity Sampling (statistics) Social behavior Chaos theory Ecosystem Calculation High- and low-level Behavior Political party Economics Addition Computer simulation Trade-off Prediction Scientist Boolean function Inference Computational model Homomorphism Coevolution Self-organization Thought Requirement Molecule Computation Social science Phenomenon Microstructure Mathematical optimization Numeracy Heuristic Adaptive algorithm Theory Adaptive system Science Invisible hand Mathematics Iteration Santa Fe Institute Implementation 3D modeling Cellular automaton Complex adaptive system Problem domain Statistic Emergence Humidity Theorem Analogy Power law General equilibrium theory Initial condition Automaton Percentage Auction Probability Quantity Dimension Brittleness Behavioral economics Sophistication Sorting Genetic algorithm Randomness Parameter Simplicity
ISBN:	9780691127026, 0691130965, 9780691130965, 0691127026, 9781400835522, 1400835526
Online Access:	Get full text
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Summary:	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 Systemsfocuses 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.
Bibliography:	Includes bibliographical references (p. [255]-260) and index SourceType-Books-1 ObjectType-Book-1 content type line 7
ISBN:	9780691127026 0691130965 9780691130965 0691127026 9781400835522 1400835526
DOI:	10.1515/9781400835522