Agent-based modeling (ABM) is widely applied in the social sciences. However, the validation of agent behavior is challenging and identified as one of the shortcomings in the field. Methods are required to establish empirical links and support the implementation of valid agent models. The PLS agent concept contributes to this by showing a way to transfer results from empirical surveys into an agent-based decision model, through processing the output of a PLS-SEM model. This should simplify and foster the use of empirical results in ABM and support collaborative studies over the disciplines.
Schubring, S., Lorscheid, I., Meyer, M., & Ringle, C. M. (2016). The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation. Journal of Business Research, 69(10), 4604-4612.
Lorscheid, Meyer, Pakur, Ringle (2014). The PLS Agent – Agent Behavior Validation by Partial Least Squares. In Miguel, Amblard, Barceló & Madella (eds.) Advances in Computational Social Science and Social Simulation, Proceedings of Social Simulation Conference 2014 in Barcelona, Spain. https://ddd.uab.cat/record/128050
Iffländer, Klaus; Levsen, Nils; Lorscheid, Iris; Pakur, Sandra; Wellner, Konstantin; Herstatt, Cornelius et al. (2012): InnoAge - Innovation and Product Development for Aging Users. Hamburg University of Technology (TUHH). Hamburg (Management@TUHH, 006).