Dreyfus Model
The Dreyfus Model is a framework for understanding skill acquisition developed by Stuart and Hubert Dreyfus in the 1980s. It describes five stages of competence that practitioners progress through as they develop expertise: novice, advanced beginner, competent, proficient, and expert. The model emphasizes that skill development involves fundamental shifts in how learners perceive problems and apply knowledge, rather than simple linear accumulation of facts and procedures.
Stages of Competence
Novices follow rigid rules and lack contextual understanding. Advanced beginners recognize recurring patterns and begin to develop situational awareness. Competent practitioners can select among relevant rules and take responsibility for their choices. Proficient performers grasp situations intuitively and respond fluidly. Experts operate from deep intuitive understanding, often unable to fully articulate the principles underlying their decisions.
Application to Expert Systems
The Dreyfus Model became significant in artificial intelligence criticism during the 1980s and 1990s. The brothers argued that expert systems—which encoded human expertise as explicit rules and facts—fundamentally misunderstood how expertise actually works. Since true expertise relies on intuitive pattern recognition and contextual judgment rather than rule-following, they contended that systems based on symbolic rule representation would plateau at competent-level performance and could not achieve genuine expert-level reasoning. This critique challenged assumptions about knowledge representation that dominated early AI research.