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pro vyhledávání: '"Adaptive network model"'
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Publikováno v:
Banerjee, S, Chitty, C, Lee, Q & Treur, J 2023, ' An adaptive network model of the role of the microbiome-gut-brain axis in insomnia ', Cognitive Systems Research, vol. 78, pp. 106-121 . https://doi.org/10.1016/j.cogsys.2022.12.002
Cognitive Systems Research, 78, 106-121. Elsevier
Cognitive Systems Research, 78, 106-121. Elsevier
This paper presents an adaptive network model simulating the role of the gut microbiome for triggering biological mechanisms that alter the circadian cycle, mood and insomnia via the microbiome-gut-brain axis. Simulation graphs provide insight into h
Autor:
Treur, Jan
Publikováno v:
Treur, J 2023, Modeling Dynamics, Adaptivity and Control by Self-modeling Networks . 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. 33-50 . https://doi.org/10.1007/978-3-031-28735-0_3
Networks provide an intuitive, declarative way of modeling which has turned out to be suitable for many types of applications that involve complex dynamics. In many cases also adaptivity plays a role. By using algorithmic or procedural descriptions f
Publikováno v:
Bouma, D, Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Computational Analysis of the Influence of Leadership and Communication on Learning Within an 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. 327-360 . https://doi.org/10.1007/978-3-031-28735-0_13
This research addresses the influence of leadership and communication on learning within an organisation by direct mutual interactions in dyads. This is done in combination with multilevel organisational learning as an alternative route, which includ
Multilevel organisational learning concerns an interplay of different types of learning at individual, team, and organisational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::7159ff7b5644a0e2917a70e7b7cfd839
https://doi.org/10.1007/978-3-031-28735-0_7
https://doi.org/10.1007/978-3-031-28735-0_7
Publikováno v:
Cognitive Systems Research, 79
Cognitive Systems Research, 79, 55-70. Elsevier
Bouma, D, Canbaloğlu, G, Treur, J & Wiewiora, A 2023, ' Adaptive network modeling of the influence of leadership and communication on learning within an organization ', Cognitive Systems Research, vol. 79, pp. 55-70 . https://doi.org/10.1016/j.cogsys.2023.01.003
Cognitive Systems Research, 79, 55-70. Elsevier
Bouma, D, Canbaloğlu, G, Treur, J & Wiewiora, A 2023, ' Adaptive network modeling of the influence of leadership and communication on learning within an organization ', Cognitive Systems Research, vol. 79, pp. 55-70 . https://doi.org/10.1016/j.cogsys.2023.01.003
This research addresses the influence of leadership and communication on learning within an organisation by direct mutual interactions in dyads. This is done in combination with multilevel organizational learning as an alternative route, which includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6cb5a7ecf1ea45a652db32fe027930
http://resolver.tudelft.nl/uuid:808e5196-83e2-43fb-8286-65c1d49dda86
http://resolver.tudelft.nl/uuid:808e5196-83e2-43fb-8286-65c1d49dda86
Autor:
Canbaloğlu, Gülay, Treur, Jan, Roelofsma, Peter, Yang, Xin-She, Sherratt, Simon, Dey, Nilanjan, Joshi, Amit
Publikováno v:
Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022, 179-191
STARTPAGE=179;ENDPAGE=191;TITLE=Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022
Canbaloğlu, G, Treur, J & Roelofsma, P 2023, An Adaptive Self-modeling Network Model for Multilevel Organizational Learning . in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022 . Lecture Notes in Networks and Systems, vol. 448, Springer Science and Business Media Deutschland GmbH, pp. 179-191, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22 . https://doi.org/10.1007/978-981-19-1610-6_16
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916090
STARTPAGE=179;ENDPAGE=191;TITLE=Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022
Canbaloğlu, G, Treur, J & Roelofsma, P 2023, An Adaptive Self-modeling Network Model for Multilevel Organizational Learning . in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022 . Lecture Notes in Networks and Systems, vol. 448, Springer Science and Business Media Deutschland GmbH, pp. 179-191, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22 . https://doi.org/10.1007/978-981-19-1610-6_16
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916090
Multilevel organizational learning concerns an interplay of different types of learning at individual, team, and organizational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd5f1d9164c14a8ce15d6fb3f283e0c6
https://research.vu.nl/en/publications/7ed24c66-a526-4b27-9af3-bb73163f9a76
https://research.vu.nl/en/publications/7ed24c66-a526-4b27-9af3-bb73163f9a76
This research addresses the influence of leadership and communication on learning within an organisation by direct mutual interactions in dyads. This is done in combination with multilevel organisational learning as an alternative route, which includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::da6119ab14d684ec039a193292e095b2
https://doi.org/10.1007/978-3-031-28735-0_13
https://doi.org/10.1007/978-3-031-28735-0_13
Networks provide an intuitive, declarative way of modeling which has turned out to be suitable for many types of applications that involve complex dynamics. In many cases also adaptivity plays a role. By using algorithmic or procedural descriptions f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::9c77091f2f3f85bca22095f06d430eca
https://research.vu.nl/en/publications/d771cbb2-75d6-4463-979f-e80de96da7a8
https://research.vu.nl/en/publications/d771cbb2-75d6-4463-979f-e80de96da7a8
Publikováno v:
Canbaloğlu, G, Treur, J & Roelofsma, P H M P 2023, A Controlled Adaptive Self-modeling Network Model of Multilevel Organisational Learning for Individuals, Teams or Projects, and 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. 123-152 . https://doi.org/10.1007/978-3-031-28735-0_7
Multilevel organisational learning concerns an interplay of different types of learning at individual, team, and organisational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a8f7fa2b664d5b2678dcae5bbc2cb499
https://hdl.handle.net/1871.1/a9944d87-2272-40a7-a744-b3fab5d49413
https://hdl.handle.net/1871.1/a9944d87-2272-40a7-a744-b3fab5d49413