Herbert A. Simon (1916-2001) was one of the most influential social scientists of the 20th century, making foundational contributions to artificial intelligence, cognitive psychology, economics, organizational theory, and philosophy of science. He won the Nobel Prize in Economics in 1978 for his theory of bounded rationality, and the Turing Award in 1975 (with Allen Newell) for contributions to artificial intelligence. His work consistently addressed a central question: how do humans think, decide, and solve problems given their limited cognitive resources?
Key Structures
- Heuristics — Mental shortcuts or rules of thumb that simplify complex judgments and decisions, enabling fast and often adequate solutions at the cost of systematic errors and biases.
- Recognition — A form of memory retrieval in which a previously encountered item is identified as familiar when presented again, typically easier than recall because the target item itself serves as a retrieval cue.
- Problem Solving — The cognitive processes involved in finding solutions to novel, non-routine challenges — from well-defined puzzles to ill-defined real-world problems.
- Long-Term Memory — The vast, relatively permanent storage system that holds knowledge, experiences, skills, and facts for periods ranging from minutes to a lifetime.
- Bounded Rationality — Herbert Simon's concept that human decision making is limited by cognitive constraints — finite attention, memory, and processing capacity — leading to 'satisficing' rather than optimizing.
- Allen Newell — A pioneer of artificial intelligence and cognitive science who co-created the General Problem Solver and developed unified theories of cognition through the SOAR cognitive architecture.
- Means-End Analysis — A general problem-solving strategy that works by identifying the difference between the current state and the goal state and selecting actions to reduce that difference.
- Expertise — The superior performance exhibited by individuals with extensive experience in a domain, characterized by rich knowledge structures, automatized skills, and qualitatively different problem representat.
Key Functions
- Proposed bounded rationality, showing humans use heuristics due to cognitive limitations.
- co-developed the first AI programs (Logic Theorist, GPS).
- Nobel Prize in Economics (1978) for decision-making research.
Bounded Rationality
Simon's concept of bounded rationality challenged the economic assumption of perfect rational agents. Human decision-makers have limited information, limited computational capacity, and limited time. Rather than optimizing (finding the best possible option), people satisfice — they search through options until they find one that meets their aspiration level ("good enough"). This is not irrational but is adaptive given cognitive constraints. Bounded rationality has influenced economics, organizational theory, AI, and the heuristics and biases research of Kahneman and Tversky.
With Allen Newell, Simon developed the information processing theory of human problem solving. Their General Problem Solver (1957) was one of the first AI programs and also a theory of human thinking: problems are solved by searching through a problem space using heuristics like means-end analysis. Their verbal protocol analysis method — having people think aloud while solving problems — became a standard research methodology. Their work on expert chess players showed that expertise depends on pattern recognition from stored chunks rather than superior search, with grandmasters storing approximately 50,000 chess patterns in long-term memory.