Loading...
Major
Neuroscience
Anticipated Graduation Year
2020
Access Type
Open Access
Abstract
An agent-based model is presented to explore factors that may influence group decision making. The model simulates procedures of previous studies of decision making. Each member individually knows some facts that every other group member also knows (shared information) as well as some facts that they alone know (unshared information). The primary goal was to model the entry of shared and unshared information into discussion. Simulations yielded results consistent with empirical findings: shared information was discussed more than unshared, as well as pooled earlier in discussion. This model allows us to change parameters to make predictions about group behavior.
Faculty Mentors & Instructors
Jim Larson, PhD, Professor Emeritus, Department of Psychology
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Agent-Based Modeling of Group Decision Making
An agent-based model is presented to explore factors that may influence group decision making. The model simulates procedures of previous studies of decision making. Each member individually knows some facts that every other group member also knows (shared information) as well as some facts that they alone know (unshared information). The primary goal was to model the entry of shared and unshared information into discussion. Simulations yielded results consistent with empirical findings: shared information was discussed more than unshared, as well as pooled earlier in discussion. This model allows us to change parameters to make predictions about group behavior.