Human-in-the-loop Experiment of the Strategic Coalition Formation using the glove game (2.5.0)

The purpose of the model is to collect information on human decision-making in the context of coalition formation games. The model uses a human-in-the-loop approach, and a single human is involved in each trial. All other agents are controlled by the ABMSCORE algorithm (Vernon-Bido and Collins 2020), which is an extension of the algorithm created by Collins and Frydenlund (2018). The glove game, a standard cooperative game, is used as the model scenario.

The intent of the game is to collection information on the human players behavior and how that compares to the computerized agents behavior. The final coalition structure of the game is compared to an ideal output (the core of the games).

Release Notes

First uploaded version.

Associated Publications

Collins, A. J., and S. Etemadidavan (2021). “Human Decision-making of Coalition Formation: An Experiment Using a Hybrid Agent-Based Model.” MDPI Modeling, 2(4), 425-447.

Etemadidavan, S., and A. J. Collins (2021). Human Characteristics Impact on Strategic Decisions in a Human-in-the-Loop Simulation. Proceedings of the 2021 IISE Annual Conference, Virtual, May 22-25.

Collins, A. J., S. Etemadidavan, and P. Pazos-Lago (2020) Human Experiment using a Hybrid Agent-Based Model. Winter Simulation Conference 2020, virtual, December 13-16.