Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning

Gülay Canbaloğlu; Jan Treur; Anna Wiewiora

doi:10.1007/978-3-031-28735-0_18

Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning

Gülay Canbaloğlu, Jan Treur^*, Anna Wiewiora

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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Abstract

In this chapter, key findings presented in this volume are summarised and evaluated to demonstrate the usefulness and great potential of the adaptive dynamical system approach based on self-modeling networks in providing a useful structure to formalise, analyse and simulate multilevel organisational learning processes. Moreover, future perspectives are discussed for further development and application based on what already has been achieved.

Original language	English
Title of host publication	Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models
Editors	Gülay Canbaloğlu, Jan Treur, Anna Wiewiora
Publisher	Springer Science and Business Media Deutschland GmbH
Chapter	18
Pages	505-511
Number of pages	7
ISBN (Electronic)	9783031287350
ISBN (Print)	9783031287343, 9783031287374
DOIs	https://doi.org/10.1007/978-3-031-28735-0_18
Publication status	Published - 2023

Publication series

Name	Studies in Systems, Decision and Control
Publisher	Springer
Volume	468
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

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Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Adaptive dynamical systems
Computational modeling
Multilevel organisational learning
Self-modeling networks

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10.1007/978-3-031-28735-0_18

Discussion-Perspectives on Computational Modeling of Multilevel Organisational LearningFinal published version, 201 KBLicence: Article 25fa Dutch Copyright Act

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Canbaloğlu, G., Treur, J., & Wiewiora, A. (2023). Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning. In G. Canbaloğlu, J. Treur, & A. Wiewiora (Eds.), Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models (pp. 505-511). (Studies in Systems, Decision and Control; Vol. 468). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28735-0_18

Canbaloğlu, Gülay ; Treur, Jan ; Wiewiora, Anna. / Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning. Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. editor / Gülay Canbaloğlu ; Jan Treur ; Anna Wiewiora. Springer Science and Business Media Deutschland GmbH, 2023. pp. 505-511 (Studies in Systems, Decision and Control).

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Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning. in G Canbaloğlu, J Treur & A Wiewiora (eds), Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. Studies in Systems, Decision and Control, vol. 468, Springer Science and Business Media Deutschland GmbH, pp. 505-511. https://doi.org/10.1007/978-3-031-28735-0_18

Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning. / Canbaloğlu, Gülay; Treur, Jan; Wiewiora, Anna.
Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. ed. / Gülay Canbaloğlu; Jan Treur; Anna Wiewiora. Springer Science and Business Media Deutschland GmbH, 2023. p. 505-511 (Studies in Systems, Decision and Control; Vol. 468).

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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Canbaloğlu G, Treur J, Wiewiora A. Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning. In Canbaloğlu G, Treur J, Wiewiora A, editors, Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. Springer Science and Business Media Deutschland GmbH. 2023. p. 505-511. (Studies in Systems, Decision and Control). Epub 2023 Jun 17. doi: 10.1007/978-3-031-28735-0_18

Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning

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