Herbert A. Simon
scientist · 3 mentions across 2 readings
In this course
Herbert Simon appears in the course as a foundational figure connecting cybernetics, bounded rationality, and early AI's ambitions to mechanize decision-making and thought itself. The readings position him as the inheritor of Von Neumann's computational program, extending rationalization—the characteristic logic of both bureaucracy and capitalism—into a totalizing framework of algorithmic modeling. His theories of satisficing and bounded rationality become crucial to understanding how AI systems came to replicate human cognitive limitations rather than transcend them, making him essential to the course's genealogy of how machines learned to think like organizations.
Background
Herbert Alexander Simon was an American scholar whose work influenced the fields of computer science, economics, and cognitive psychology. His primary research interest was decision-making within organizations and he is best known for the theories of "bounded rationality" and "satisficing". He and Allen Newell received the ACM Turing Award in 1975, and he received the Nobel Memorial Prize in Economic Sciences in 1978.
Wikipedia →Mentioned in 2 readings
Appears alongside
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