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A Behavioral Model of Rational Choice

Why this mattered

Simon’s paper mattered because it gave economics and decision theory a rigorous alternative to the idealized model of fully optimizing rational agents. Instead of treating rational choice as maximization over a complete and well-defined set of alternatives, Simon argued that real decision makers face limits of information, computation, and attention. The central shift was from substantive rationality to procedural rationality: explaining choice by the processes through which agents search, simplify, and stop, rather than by assuming they can solve the global optimization problem.

The paper made “bounded rationality” a usable research program. Simon’s concepts of simplified choice environments, aspiration levels, and satisficing showed how rational behavior could be modeled when exhaustive optimization was infeasible. This opened the way to formal and empirical work on organizations, administrative behavior, problem solving, heuristics, search, and adaptive decision processes. It also helped make cognition relevant to economics without abandoning formal analysis.

Its influence is visible in later breakthroughs across behavioral economics, cognitive science, artificial intelligence, and organizational theory. Kahneman and Tversky’s work on heuristics and biases, Nelson and Winter’s evolutionary economics, March’s organizational learning, and much of modern computational social science all build on the premise that agents act under bounded capacities in structured environments. Simon’s paper did not merely criticize rational-choice theory; it changed what counted as an explanation of choice.

Abstract

Introduction, 99. — I. Some general features of rational choice, 100.— II. The essential simplifications, 103. — III. Existence and uniqueness of solutions, 111. — IV. Further comments on dynamics, 113. — V. Conclusion, 114. — Appendix, 115.

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