3.0
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 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.
MathematicsSocial Science
RELEASED2007
PUBLISHERPrinceton University Press
LENGTH263
LANGUAGEEN
John H. Miller received his Ph.D. in Economics from the University of Michigan in 1988. He then joined the Santa Fe Institute as their first post doctoral fellow, followed by an appointment in the Department of Social and Decision Sciences at Carnegie Mellon University, where he served as Department Head from 2002 to 2014 and is currently Professor of Economics and Social Science. His research interests are in complex adaptive social systems and behavioral economics.-Santa Fe Institute
3.0
Complex Adaptive Systems An Introduction to Computational Models of Social Life
by John Howard Miller, Scott E. Page
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.
MathematicsSocial Science
RELEASED2007
PUBLISHERPrinceton University Press
LENGTH263
LANGUAGEEN
John H. Miller received his Ph.D. in Economics from the University of Michigan in 1988. He then joined the Santa Fe Institute as their first post doctoral fellow, followed by an appointment in the Department of Social and Decision Sciences at Carnegie Mellon University, where he served as Department Head from 2002 to 2014 and is currently Professor of Economics and Social Science. His research interests are in complex adaptive social systems and behavioral economics.-Santa Fe Institute
