Abstract
This paper describes a second-order adaptive network model for mental processes making use of shared mental models for team performance. The paper illustrates the value of adequate shared mental models for safe and efficient team performance and in cases of imperfections of such shared team models how this complicates the team performance. It is illustrated for a context of a medical team performing a tracheal intubation. Simulations illustrate how the adaptive network model is able to address the type of complications that can occur in realistic scenarios.
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van Ments, L., Treur, J., Klein, J., Roelofsma, P. (2021). A Second-Order Adaptive Network Model for Shared Mental Models in Hospital Teamwork. In: Nguyen, N.T., Iliadis, L., Maglogiannis, I., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science(), vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_10
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