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MENTAL MODEL · M12146

Recognition-Primed Decision Model

Recognition-Primed Decision Model
Learn & MetacognitionHigh supportCognitive Psychology
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Updated 2026-08-15

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INTRODUCTION

English translation pending.

CORE DEFINITION

Proposed by Gary Klein, the Recognition-Primed Decision model describes how experienced people make decisions under time pressure and high stakes. Rather than generating and comparing multiple options, the expert recognizes the current situation as a familiar type, retrieves a typical course of action, and then runs a quick mental simulation to check whether it will work. If the simulation passes, the expert acts immediately; if it fails, the option is modified or replaced. This explains why veterans can decide well without exhaustive analysis, and why building a rich bank of situation-action patterns matters more early in a career than learning elaborate decision trees.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Decode expert intuition: break an expert's fast call into situation recognition plus mental simulation so it can be taught and audited. - Trust then verify: when a first answer arrives, do not silence it, but always run one mental rehearsal before committing. - Build a pattern bank: in novice years, prioritize accumulating situation-action pairs over memorizing elaborate decision procedures.

anchor

Anchor fast decisions

The model pairs two mental stages. Recognition matches the current situation to stored experience patterns, which immediately activates a typical action rather than a blank search space. Mental simulation then replays that action forward to surface consequences cheaply, so errors are caught before execution. Because only one option is elaborated, attention is conserved; because the option already fits a recognized situation type, the first workable answer is usually adequate, and adjustment replaces exhaustive comparison.

MINIMUM ACTION

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Source support: Explicit

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    en.wikipedia.orghttps://en.wikipedia.org/wiki/Recognition-primed_decisionZH · Explicit
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