› Symbolic AI · 9 of 14
Herbert A. Simon
1916–2001 · American
Collaborated with Newell on the first AI programs, and won the Nobel Memorial Prize in Economics for decision-making.
- Ideas
- Logic Theorist, General Problem Solver, bounded rationality
- Affiliations
- Carnegie Mellon University
- Contribution
- Collaborated with Newell on Logic Theorist and GPS, among the first AI programs.
- Won the Nobel Memorial Prize in Economics for work on decision-making and bounded rationality.
- Bridged organization science, psychology, and artificial intelligence.
- Key observations
- People (and machines) rarely optimize perfectly; they satisfice — choose something good enough under limits.
- Attention and time are scarce, so smart systems need heuristics.
- Institutions and algorithms both shape what decisions get made.
- Conclusions
- AI literacy includes limits: compute, data, and human attention are all bounded.
- When a model "optimizes," ask what it was scored on — and what it ignored.
- Economics, psychology, and AI share one question: how do agents decide under constraint?
Same notes in the short book →
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