Human Intelligence
Thinking, Fast and Slow (Dual-Process Theory)
Daniel Kahneman · 2011 · Farrar, Straus and Giroux
Synthesized decades of research into a dual-process model: fast intuitive System 1 and slow deliberative System 2.
Research objective
Provide a unified framework for human judgment, decision-making, and cognitive bias.
Methodology
Synthesis of behavioral experiments, prospect theory (with Tversky), and heuristics-and-biases research spanning fifty years.
Key findings
- Human cognition runs on two complementary systems with different speed, effort, and reliability profiles.
- Most everyday judgment relies on System 1 heuristics, which are usually accurate but systematically biased.
- Cognitive effort is metabolically expensive and easily depleted.
Strengths
- Hugely influential across psychology, economics, and AI.
- Operationalized 'cognitive bias' as a tractable empirical concept.
Limitations
- Some specific findings (e.g., priming, ego depletion) have weakened in replication.
- The two-system metaphor simplifies a continuum of processes.
Practical implications
- Shaped behavioral economics, nudge theory, and modern decision science.
- Cited by AI researchers framing fast pattern recognition vs. slow reasoning in LLMs.
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