Equilibrium analysis for linear and nonlinear aggregation in network models: applied to mental model aggregation in multilevel organisational learning-Reference-Cited by-同舟云学术

Equilibrium analysis for linear and nonlinear aggregation in network models: applied to mental model aggregation in multilevel organisational learning

Published:2022-05-20 Issue:3 Volume:6 Page:289-340
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Canbaloğlu Gülay¹²,Treur Jan²³

Affiliation:

1. Department of Computer Engineering, Koç University, Istanbul, Turkey

2. Center for Safety in Healthcare, Delft University of Technology, Delft, The Netherlands

3. Social AI Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2022.2043594

Reference27 articles.

1. Metaplasticity: the plasticity of synaptic plasticity

2. An Algorithm for Strongly Connected Component Analysis in n log n Symbolic Steps

3. Canbaloğlu, G. & Treur, J. (2021a). Context-sensitive mental model aggregation in a second-order adaptive network model for organisational learning. In Proceedings of the 10th International Conference on Complex Networks and their Applications. Studies in Computational Intelligence, vol 1015, pp 411–423. Springer Nature.

4. Canbaloğlu, G. & Treur, J. (2021b). Using boolean functions of context factors for adaptive mental model aggregation in organisational learning. In Proc. of the 12th International Conference on Brain-Inspired Cognitive Architectures, BICA'21. Studies in Computational Intelligence, vol 1032, pp 54–68. Springer Nature.

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