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Computational Modeling of Organisational Learning by Self-Modeling Networks

Autor: Gülay Canbaloğlu, Jan Treur, Peter H.M.P. Roelofsma

Publikováno v: Cognitive Systems Research, 73
Canbaloğlu, G, Treur, J & Roelofsma, P 2022, ' Computational Modeling of Organisational Learning by Self-Modeling Networks ', Cognitive Systems Research, vol. 73, pp. 51-64 . https://doi.org/10.1016/j.cogsys.2021.12.003
Cognitive Systems Research, 73, 51-64. Elsevier
Cognitive Systems Research

Within organisational learning literature, mental models are considered a vehicle for both individual learning and organizational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6feaaeeeca52c377cc1531b83c57f5ba
https://doi.org/10.1016/j.cogsys.2021.12.003

In Control of Your Instructor

Autor: Bhalwankar, Raj, Treur, Jan, Van Ments, Laila

Publikováno v: Studies in Systems, Decision and Control ISBN: 9783030858209
Mental Models and their Dynamics, Adaptation and Control: A Self-Modeling Network Modeling Approach, 209-253
STARTPAGE=209;ENDPAGE=253;TITLE=Mental Models and their Dynamics, Adaptation and Control
Bhalwankar, R & Treur, J 2022, In Control of Your Instructor : Modeling Learner-Controlled Mental Model Learning . in J Treur & L Van Ments (eds), Mental Models and their Dynamics, Adaptation and Control : A Self-Modeling Network Modeling Approach . Studies in Systems, Decision and Control, vol. 394, Springer Nature Switzerland AG, pp. 209-253 . https://doi.org/10.1007/978-3-030-85821-6_9

Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b391198fe76958c26d57b197906a34e
https://doi.org/10.1007/978-3-030-85821-6_9

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Study on a Second-Order Adaptive Sliding-Mode Observer Control Algorithm for the Sensorless Permanent Magnet Synchronous Motor

Autor: Guozhong Yao, Yuanpeng Cheng, Zhengjiang Wang, Yuhan Xiao

Publikováno v: Processes; Volume 11; Issue 6; Pages: 1636

The control of a permanent magnet synchronous motor (PMSM) without a position sensor based on a sliding-mode observer (SMO) algorithm has a serious jitter problem in the process of motor phase tracking. A second-order adaptive sliding-mode observer a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec6eb37d2914a428b6b900f93b96c8b
https://doi.org/10.3390/pr11061636