Recognition Primed Decision
Recognition-primed decision (RPD) is a model of how people make quick, effective decisions when faced with complex situations. In this model, the decision maker is assumed to generate a possible course of action, compare it to the constraints imposed by the situation, and select the first course of action that is not rejected. RPD has been described in diverse groups including ICU nurses, fireground commanders, chess players, and stock market traders. It functions well in conditions of time pressure, and in which information is partial and goals poorly defined. The limitations of RPD include the need for extensive experience among decision-makers (in order to correctly recognize the salient features of a problem and model solutions) and the problem of the failure of recognition and modeling in unusual or misidentified circumstances. It appears to be a valid model for how human decision-makers make decisions.
Read more about Recognition Primed Decision: Overview, Variations, Application, RPD-enabled Software Agents, See Also
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