System Dynamics Modeling of the Time Course of the Recognition-Primed Decision Model
Abstract
Two types of decision-making processes have been identified in the literature: an analytical process and an intuitive process. One conceptual model of the latter is the recognition-primed decision (RPD) model (e.g., Klein, 2008). According to this model, decision making in naturalistic contexts entails a situational pattern-recognition process that, if subsequent expectancies are confirmed, leads the decision maker to render a decision to engage in a given course of action. In this paper, the authors describe a system dynamics model of Klein's RPD framework that focuses upon the dynamics of the decision-making process. The structure of the RPD model is based on a model of a set of laboratory phenomena called conjunction benefits and costs (e.g., L. R. Fournier, Patterson, Dyre, Wiediger, and Winters, 2007), which was extended to encompass the RPD framework. The results of their simulations suggest that decision priming (a bias toward rendering a given decision based on prior information) is a phenomenon that should occur in many naturalistic settings.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2009
- Accession Number
- ADA518391
Entities
People
- Byron J. Pierce
- Lisa M. Tripp
- Lisa R Fournier
- Marc D. Winterbottom
- Robert Patterson
Organizations
- Washington State University