Modeling Dynamics, Adaptivity and Control by Self-modeling Networks

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d43d9137ea9ffcd7e71ca099bb40f8cb
https://doi.org/10.1007/978-3-031-28735-0_3

Bringing Networks to the Next Level: Self-modeling Networks for Adaptivity and Control of Mental Models

Autor: Treur, Jan, Van Ments, Laila

Publikováno v: Mental Models and their Dynamics, Adaptation and Control: A Self-Modeling Network Modeling Approach, 27-55
STARTPAGE=27;ENDPAGE=55;TITLE=Mental Models and their Dynamics, Adaptation and Control
Studies in Systems, Decision and Control ISBN: 9783030858209
Treur, J 2022, Bringing Networks to the Next Level : Self-modeling Networks for Adaptivity and Control of Mental Models . 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. 27-55 . https://doi.org/10.1007/978-3-030-85821-6_2

Networks provide an intuitive, declarative way of modeling with a wide scope of applicability. In many cases also adaptivity of a network plays a role, which easily leads to less declarative and transparent forms of modeling by using algorithmic or p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c1728abf32f2047cf5436fe2838a480
https://research.vu.nl/en/publications/84bdd28f-e1e3-4c27-a400-cc365f0f56a5

Ins and outs of network-oriented modeling

Autor: Treur, Jan

Publikováno v: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models, 25-55
STARTPAGE=25;ENDPAGE=55;TITLE=Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models ISBN: 9783030314446
Treur, J 2020, Ins and outs of network-oriented modeling . in J Treur (ed.), Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models . Studies in Systems, Decision and Control, vol. 251, Springer International Publishing AG, pp. 25-55 . https://doi.org/10.1007/978-3-030-31445-3_2

Network-Oriented Modeling has successfully been applied to obtain network models for a wide range of phenomena, including Biological Networks, Mental Networks, and Social Networks. In this chapter, it is discussed how the interpretation of a network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::024ecd2b946969bb1f64d07f1cd6a6df
https://research.vu.nl/en/publications/c2ae2187-ff74-4927-bcfb-c422d13a750b

A computational analysis of psychopathy based on a network-oriented modeling approach

Autor: van Dijk, Freke W., Treur, Jan, Fernandez-Caballero, Antonio, De La Prieta, Fernando, Omatu, Sigeru

Publikováno v: Distributed Computing and Artificial Intelligence, 15th International Conference [2018], 344-356
STARTPAGE=344;ENDPAGE=356;TITLE=Distributed Computing and Artificial Intelligence, 15th International Conference [2018]
Distributed Computing and Artificial Intelligence, 15th International Conference ISBN: 9783319946481
DCAI
van Dijk, F W & Treur, J 2019, A computational analysis of psychopathy based on a network-oriented modeling approach . in A Fernandez-Caballero, F De La Prieta & S Omatu (eds), Distributed Computing and Artificial Intelligence, 15th International Conference [2018] . Advances in Intelligent Systems and Computing, vol. 800, Springer Verlag, pp. 344-356, 15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018, Toledo, Spain, 20/06/18 . https://doi.org/10.1007/978-3-319-94649-8_41

In this paper psychopathy is analysed computationally by creating a temporal-causal network model. The network model was designed using knowledge from Cognitive and Social Neuroscience and simulates the internal neural circuit for moral decision maki

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18f433115536e245dce3302324a31722
https://research.vu.nl/en/publications/977abc13-e5a4-406f-8e43-35c8c05f601d

A Computational Model for the Influence of Myelin Excess in Patients with Post-Traumatic Stress Disorder

Autor: Langbroek, Jelmer, Treur, J., Mohammadi Ziabari, S.S., Tadeusiewicz, Ryszard, Pedrycz, Witold, Rutkowski, Leszek, Scherer, Rafał, Korytkowski, Marcin, Zurada, Jacek M.

Publikováno v: Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II, 2

The brain is the central organ of stress and controls the adaptation to stressors, while it perceives what is potentially threatening and determines the behavioral and physiological responses. Post-traumatic stress disorder (PTSD) is a mental health

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::30c57f1d4924f779faa652062c9c1ef9
https://research.vu.nl/en/publications/f11ad8ab-8541-4c1e-982a-8af00c46d3ff