Team-RPD: A Collaborative Model of the Recognition-Primed Decision Process

The recognition-primed decision (RPD) framework is a naturalistic decision making model that focuses on how people actually make decisions in realistic settings that typically involve ill-structured problems. In this paper, we generalize the existing studies on RPD and propose a team-RPD representation model that treats a situation as a layered organization of state variables, and the decision process as a timed transition Petri net. This model can serve as a foundation for implementing agent architectures and multi-agent systems with built-in supports for naturalistic decision making.