Complex Adaptive Systems

An Introduction to Computational Models of Social Life

Scott Page, John H. Miller

EPUB
ca. 44,99
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Princeton University Press img Link Publisher

Geisteswissenschaften, Kunst, Musik / Pädagogik

Beschreibung

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.

Weitere Titel von diesem Autor

Kundenbewertungen

Schlagwörter

Genetic algorithm, Social behavior, Result, Sampling (statistics), Mathematical optimization, Science, Invisible hand, Phenomenon, Randomness, Self-organization, Requirement, Behavior, Percentage, Social science, Inference, Theory, Trade-off, Cellular automaton, Hypothesis, Auction, Sorting, Numeracy, Analogy, Iteration, Ecosystem, General equilibrium theory, Political party, Microstructure, Statistic, 3D modeling, High- and low-level, Automaton, Boolean function, Heuristic, Initial condition, Complexity, Problem domain, Homomorphism, Quantity, Adaptive system, Computer simulation, Molecule, Chaos theory, Cognition, Addition, Prediction, Emergence, Power law, Complex adaptive system, Parameter, Thought, Scientist, Computation, Explanation, Behavioral economics, Brittleness, Implementation, Adaptive algorithm, Humidity, Calculation, Coevolution, Sophistication, Theorem, Santa Fe Institute, Mathematics, Dimension, Probability, Economics, Simplicity, Computational model