2021
DOI: 10.1007/978-3-030-88081-1_10
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A Second-Order Adaptive Network Model for Shared Mental Models in Hospital Teamwork

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Cited by 20 publications
(6 citation statements)
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“…7.2. In this way the three-level cognitive architecture described in (Van Ments et al 2021;Treur and Van Ments 2022) is formalized computationally in the form of a self-modeling network architecture. In Bhalwankar and Treur (2021) it is shown how specific forms of learning and their control can be modeled based on this self-modeling network architecture, in particular learning by observation and learning by instruction and combinations thereof (Yi and Davis 2003;Van Gog et al 2009).…”
Section: • Connectivity Characteristicsmentioning
confidence: 99%
“…7.2. In this way the three-level cognitive architecture described in (Van Ments et al 2021;Treur and Van Ments 2022) is formalized computationally in the form of a self-modeling network architecture. In Bhalwankar and Treur (2021) it is shown how specific forms of learning and their control can be modeled based on this self-modeling network architecture, in particular learning by observation and learning by instruction and combinations thereof (Yi and Davis 2003;Van Gog et al 2009).…”
Section: • Connectivity Characteristicsmentioning
confidence: 99%
“…To model mental models, their adaptation, and the control of this adaptation, the three-level cognitive architecture, as shown in Fig. 1, can be used (Treur and Van Ments 2022;Van Ments and Treur 2021; see also (Van Ments et al 2021a, 2021b:…”
Section: The Modeling Approach Usedmentioning
confidence: 99%
“…Adaptive values for the persistence factor μ of hebb μ (..) as in the self-modeling network model for shared mental models described in (Van Ments et al 2021) or for the scaling factor λ of smin λ (V 1 , V 2 ).…”
Section: How Mental Model Adaptation Can Be Controlledmentioning
confidence: 99%
“…Forgetting connections in a shared mental model during teamwork, like in Case 8 in Sect. 3; e.g.,(Burtscher and Manser 2012;Van Ments et al 2021) …”
mentioning
confidence: 99%