Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)

This book provides a comprehensive and accessible account of complex adaptive social systems, offering insights into key tools and ideas in the field since the mid-1990s.

With a focus on concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback, this book demonstrates how to explore these systems using methods from mathematics to computational models of adaptive agents.

By combining ideas from various disciplines, including economics, political science, biology, physics, and computer science, the authors show how to illuminate topics in organization, adaptation, decentralization, and robustness.

This book is a must-read for anyone interested in understanding complex social systems and their behavior.