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Complexity economics is a category of books that treats the economy as a complex adaptive system, emphasizing how diverse, interacting agents generate emergent patterns, nonlinear dynamics, and continual change rather than static equilibrium. Works in this genre highlight feedback loops, network effects, path dependence, heterogeneity, bounded rationality, tipping points, and resilience, often challenging traditional representative-agent models. Methods commonly include agent-based modeling, network analysis, evolutionary and game-theoretic approaches, nonlinear dynamics, and data-intensive simulations. Topics span financial instability, innovation and technological change, inequality, macroeconomic fluctuations, market formation, urban systems, and climate–economy interactions, with a strong interdisciplinary draw from physics, biology, computer science, and systems theory. The category ranges from accessible introductions to technical handbooks and case studies, aiming to inform policy and strategy under uncertainty and complexity.

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