Presenter Information

Marisa HofstetterFollow

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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

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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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.