Modeling the Dynamics of Recognition-Primed Decision Making

Motivation –Two decision-making processes have been identified: an analytical process and an intuitive process. One conceptual model of the latter is the Recognition Primed Decision (RPD) model (Klein, 2008). According to this model, decision making in naturalistic contexts entails a situational patternrecognition process which, if subsequent expectancies are confirmed, lead the decision maker to render a decision to engage in a given course of action. Research approach -– In this paper, we describe a system dynamics model of Klein’s RPD framework, focusing upon the dynamics of the decision process. Findings/Design –Our framework is based on a model of a set of laboratory phenomena called conjunction benefits and conjunction costs, which was extended to encompass the RPD framework. Research limitations/Implications –Our simulations suggest that decision priming (bias in decision making) should occur in many naturalistic settings. Originality/Value –Originality comes from system dynamics modeling. Take away message –Robust decision making based on pattern recognition may be susceptible to priming.