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“Bounded rationality” as a book category focuses on how people and organizations actually make decisions when time, information, and cognitive resources are limited. Instead of assuming perfect optimization, these works explore heuristics, satisficing, cognitive biases, and how environments and institutions shape choices. The category bridges behavioral economics, psychology, management, public policy, and AI, blending theory, experiments, and case studies to reveal the gap between idealized models and real behavior. Readers will find tools for designing choice architectures, policies, and organizational routines that perform well under uncertainty and constraint, along with debates over when simple rules are adaptive versus misleading. It’s a practical, cross-disciplinary shelf for anyone seeking realistic models of judgment and strategies for improving decision-making in the wild.

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