Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Self-modeling networks"'
Publikováno v:
Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Discussion : Perspectives on Computational Modeling of Multilevel Organisational Learning . in 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
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 formali
Publikováno v:
Canbaloğlu, G, Treur, J & Wiewiora, A 2023, On Computational Analysis and Simulation for Multilevel Organisational Learning . in 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. 3-13 . https://doi.org/10.1007/978-3-031-28735-0_1
As organisational learning concerns highly dynamic, multilevel and non-linear processes involving several contextual factors, it is far from trivial how computational analysis and simulation can be developed in a systematic and transparent manner for
Autor:
Treur, Jan, Van Ments, Laila
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030858209
Treur, J 2022, How Far Do Self-Modeling Networks Reach : Relating Them to Adaptive Dynamical Systems . 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. 565-581 . https://doi.org/10.1007/978-3-030-85821-6_20
Mental Models and their Dynamics, Adaptation and Control: A Self-Modeling Network Modeling Approach, 565-581
STARTPAGE=565;ENDPAGE=581;TITLE=Mental Models and their Dynamics, Adaptation and Control
Treur, J 2022, How Far Do Self-Modeling Networks Reach : Relating Them to Adaptive Dynamical Systems . 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. 565-581 . https://doi.org/10.1007/978-3-030-85821-6_20
Mental Models and their Dynamics, Adaptation and Control: A Self-Modeling Network Modeling Approach, 565-581
STARTPAGE=565;ENDPAGE=581;TITLE=Mental Models and their Dynamics, Adaptation and Control
In this chapter, it is addressed by mathematical analysis how network-oriented modeling relates to the dynamical systems perspective on mental processes. It has been mathematically proven that any dynamical system can be modeled as a temporal-causal
Publikováno v:
Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Computational Analysis of a Real-World Scenario of Organisational Learning for a Project Management Organisation . in 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. 289-325 . https://doi.org/10.1007/978-3-031-28735-0_12
This chapter describes how the recently developed self-modeling network modeling approach for multilevel organisational learning has been tested on applicability for a real-world case of a project-based organisation. The modeling approach was able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bc1ebb8e675078a47f1ec95aa2759fee
https://hdl.handle.net/1871.1/2a632afd-038a-481b-89fd-8b28c81b1917
https://hdl.handle.net/1871.1/2a632afd-038a-481b-89fd-8b28c81b1917
Autor:
Canbaloğlu, Gülay, Treur, Jan, Wiewiora, Anna, Shukla, Anupam, Murthy, B. K., Hasteer, Nitasha, Van Bellen, Jean-Paul
Publikováno v:
Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms . in A Shukla, B K Murthy, N Hasteer & J-P Van Bellen (eds), Computational Intelligence : Select Proceedings of InCITe 2022 . Lecture Notes in Electrical Engineering, vol. 968, Springer Nature Switzerland AG, pp. 1-17, 2nd International Conference on Information Technology, InCITe 2022, Noida, India, 3/03/22 . https://doi.org/10.1007/978-981-19-7346-8_1
Lecture Notes in Electrical Engineering ISBN: 9789811973451
Computational Intelligence: Select Proceedings of InCITe 2022, 1-17
STARTPAGE=1;ENDPAGE=17;TITLE=Computational Intelligence
Lecture Notes in Electrical Engineering ISBN: 9789811973451
Computational Intelligence: Select Proceedings of InCITe 2022, 1-17
STARTPAGE=1;ENDPAGE=17;TITLE=Computational Intelligence
This paper addresses formalization and computational modeling of multilevel organizational learning, which is one of the major challenges for the area of organizational learning. It is discussed how various conceptual mechanisms in multilevel organiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e60383c50e005fa4ce277dd341ef0037
https://research.vu.nl/en/publications/46a7aed6-b937-4121-9c93-aadbffca374a
https://research.vu.nl/en/publications/46a7aed6-b937-4121-9c93-aadbffca374a
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 formali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::9381ffadd6876d707e498d6f05c701e4
https://research.vu.nl/en/publications/388782ed-ae75-4ce6-878a-589aa2a6fabb
https://research.vu.nl/en/publications/388782ed-ae75-4ce6-878a-589aa2a6fabb
Publikováno v:
Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Computational Analysis of the Role of Leadership Style for Its Context-Sensitive Control over Multilevel Organisational Learning . in Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-Modeling Network Models . Studies in Systems, Decision and Control, vol. 468, Springer Nature Switzerland AG, pp. 253-287 . https://doi.org/10.1007/978-3-031-28735-0_11
This chapter addresses formalisation and computational modeling of context-sensitive control over multilevel organisational learning and in particular the role of the leadership style in influencing feed forward learning flows. It addresses a realist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::832e05a6e4756a3315268157e4e2ca69
https://hdl.handle.net/1871.1/a4660fda-ad0e-4e7d-bcc7-0829d22be042
https://hdl.handle.net/1871.1/a4660fda-ad0e-4e7d-bcc7-0829d22be042
This chapter describes how the recently developed self-modeling network modeling approach for multilevel organisational learning has been tested on applicability for a real-world case of a project-based organisation. The modeling approach was able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::a83a651674b6dfa1e7150550d51e758d
https://doi.org/10.1007/978-3-031-28735-0_12
https://doi.org/10.1007/978-3-031-28735-0_12
This chapter addresses formalisation and computational modeling of context-sensitive control over multilevel organisational learning and in particular the role of the leadership style in influencing feed forward learning flows. It addresses a realist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::5558e51e115919fb0d5fa248f5522f54
https://doi.org/10.1007/978-3-031-28735-0_11
https://doi.org/10.1007/978-3-031-28735-0_11
As organisational learning concerns highly dynamic, multilevel and non-linear processes involving several contextual factors, it is far from trivial how computational analysis and simulation can be developed in a systematic and transparent manner for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::0b66f46a7a326779bf56f14e57f2b55a
https://research.vu.nl/en/publications/ffbde9c8-455f-43ef-b505-b7a4476f5c40
https://research.vu.nl/en/publications/ffbde9c8-455f-43ef-b505-b7a4476f5c40