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Complex Adaptive Systems: An Introduction to Computational Models of Social Life

Natural Scienc, Humanities/Social Sciences
Thematic Area
Community Development, Development studies, Energy Systems, Landscape planning and design, Political science (international relations, international governance), Simulations of physical behaviors (computer science, biomedicine, mathematics, mechanics), Sociology and Philosophy, Sustainable Development, Systems thinking-Theoretical framework and assessment
Description of the Course Material
This book provides a rather clear and comprehensive account of complex adaptive social systems written by two of the field’s leading authors, John H. Miller (Carniege Mellon University) and Scott E. Page (University of Michigan). “Complex Adaptive Systems” focuses on the main tools and ideas emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. The book provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback, presenting also how mathematics and computational models of adaptive agents can be adopted to explore similar topics.

The authors show how to combine insights from economics, political science, biology, physics and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. For this reason, the manual is an excellent introduction to the techniques of complex systems analysis both for social and natural sciences.