Herbert Simon
The interdisciplinary giant who redefined human decision-making through bounded rationality and satisficing
Herbert Simon (1916-2001) was one of the most interdisciplinarily influential scientists of the 20th century and the 1978 Nobel Laureate in Economics. His core contribution is bounded rationality theory: human decision-making does not pursue optimal solutions under complete information and unlimited computational capacity, but rather seeks satisficing solutions under cognitive limitations and incomplete information. This theory fundamentally overturned the rational actor assumption of neoclassical economics, pioneering behavioral economics. Simon was also one of the founders of artificial intelligence, co-developing with Newell the first AI program (Logic Theorist, 1956) and the General Problem Solver (GPS), and predicting that machines would beat chess champions within 10 years (which actually happened in 1997). At Carnegie Mellon University, he spanned economics, computer science, psychology, and organizational theory—the last true polymath of the 20th century.
Methodologies
- Satisficing Decision Method - Explicitly set acceptable criteria, stop searching when the first option meeting the criteria is found, rather than exhausting resources seeking the optimal solution
- Problem Decomposition and Hierarchical Solving - Decompose complex problems into manageable subproblems, use hierarchical structure to reduce problem complexity, and solve layer by layer
Key decisions and timeline
- Born in Milwaukee - Diverse growth environments are often the cradle of interdisciplinary thinkers.
- Receives Political Science PhD from University of Chicago - Research starting from real-world problems is often more breakthrough than research starting from theoretical problems.
- Publishes Administrative Behavior, Proposes Bounded Rationality - Theories that challenge dominant paradigms often take decades to receive full recognition.
Beliefs and mental models
- Belief 1 - Humans are not perfectly rational economic actors—our cognitive capacity is limited, information is incomplete, and time is finite. Under these constraints, people do not pursue optimal solutions but seek satisficing ones. This insight describes human decision-making more accurately than the rational actor assumption of traditional economics.
- Belief 2 - In real-world decision-making, people set a satisficing threshold (aspiration level) and stop searching when they find the first option that exceeds this threshold. This is not a defect in rationality but an adaptive strategy under cognitive constraints—the cost of seeking an optimal solution often exceeds its benefits.
- Belief 3 - Human thinking is essentially a symbolic information processing process that can be simulated and studied using computer programs. This belief is the common foundation of artificial intelligence and cognitive science, and the theoretical link connecting Simon's work across psychology, economics, and computer science.
- Model 1
- Model 2
- Model 3