IIE Annual Conference. Proceedings
2021 IISE Annual Conference, Norcross, GA (Virtual), May 23-25, 2021
In this paper, a hybrid simulation model of the agent-based model and cooperative game theory is used in a human-in-the-loop experiment to study the effect of human demographic characteristics in situations where they make strategic coalition decisions. Agent-based modeling (ABM) is a computational method that can reveal emergent phenomenon from interactions between agents in an environment. It has been suggested in organizational psychology that ABM could model human behavior more holistically than other modeling methods. Cooperative game theory is a method that models strategic coalitions formation. Three characteristics (age, education, and gender) were considered in the experiment to see if there is a difference between decisions made by humans with different characteristics. The final coalition, in which the human is a member, was compared to an ideal coalition known as a core coalition. The experimental results show that there is no significant difference in strategic decisions due to their characteristics. In other words, none of the considered demographic information has an impact on human strategic choices.
0000-0002-8012-2272 (Collins), 0000-0001-7512-900X (Etemadidavan)
Original Publication Citation
Collins, A. J., & Etemadidavan, S. (2021). Human characteristics impact on strategic decisions in a human-in-the-loop simulation. IIE Annual Conference. Proceedings, (pp. 298-303). https://www.proquest.com/docview/2560887492?accountid=12967
Collins, Andrew J. and Etemadidavan, Shieda, "Human Characteristics Impact on Strategic Decisions in a Human-In-The-Loop Simulation" (2021). Engineering Management & Systems Engineering Faculty Publications. 84.