Team Cognition (1.0.0)
The teamCognition model investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. The agent-based model is used as a computational testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions.
Release Notes
First version of the code.
Associated Publications
Lorscheid, Iris and Meyer, Matthias (conditionally accepted) Toward a better understanding of team decision processes: combining laboratory experiments with agent-based modeling. Journal of Business & Economics
Team Cognition 1.0.0
Submitted by
Iris Lorscheid
Published May 23, 2021
Last modified May 23, 2021
The teamCognition model investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. The agent-based model is used as a computational testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions.
Release Notes
First version of the code.