A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioning

Charlotte Commu, J. Treur, Annemieke Dols, Yolande A.L. Pijnenburg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a temporal-causal network model that describes the recognition of emotions shown by others. The model can show both normal functioning and cases of dysfunctioning, such as can be the case for persons with certain types of dementia. Simulations have been performed to test the model in both these types of behaviours. A mathematical analysis was done which gave evidence that the model as implemented does what it is meant to do. The model can be applied to obtain a virtual patient model to study the way in which recognition of emotions can deviate for certain types of persons.
LanguageEnglish
Title of host publicationProceedings of the 10th International Conference on Computational Collective Intelligence, ICCCI'18)
PublisherSpringer
StatePublished - 5 Sep 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer

Cite this

Commu, C., Treur, J., Dols, A., & Pijnenburg, Y. A. L. (2018). A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioning. In Proceedings of the 10th International Conference on Computational Collective Intelligence, ICCCI'18) (Lecture Notes in Computer Science). Springer.
Commu, Charlotte ; Treur, J. ; Dols, Annemieke ; Pijnenburg, Yolande A.L./ A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioning. Proceedings of the 10th International Conference on Computational Collective Intelligence, ICCCI'18). Springer, 2018. (Lecture Notes in Computer Science).
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Commu, C, Treur, J, Dols, A & Pijnenburg, YAL 2018, A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioning. in Proceedings of the 10th International Conference on Computational Collective Intelligence, ICCCI'18). Lecture Notes in Computer Science, Springer.

A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioning. / Commu, Charlotte; Treur, J.; Dols, Annemieke; Pijnenburg, Yolande A.L.

Proceedings of the 10th International Conference on Computational Collective Intelligence, ICCCI'18). Springer, 2018. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Pijnenburg,Yolande A.L.

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N2 - This paper introduces a temporal-causal network model that describes the recognition of emotions shown by others. The model can show both normal functioning and cases of dysfunctioning, such as can be the case for persons with certain types of dementia. Simulations have been performed to test the model in both these types of behaviours. A mathematical analysis was done which gave evidence that the model as implemented does what it is meant to do. The model can be applied to obtain a virtual patient model to study the way in which recognition of emotions can deviate for certain types of persons.

AB - This paper introduces a temporal-causal network model that describes the recognition of emotions shown by others. The model can show both normal functioning and cases of dysfunctioning, such as can be the case for persons with certain types of dementia. Simulations have been performed to test the model in both these types of behaviours. A mathematical analysis was done which gave evidence that the model as implemented does what it is meant to do. The model can be applied to obtain a virtual patient model to study the way in which recognition of emotions can deviate for certain types of persons.

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Commu C, Treur J, Dols A, Pijnenburg YAL. A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioning. In Proceedings of the 10th International Conference on Computational Collective Intelligence, ICCCI'18). Springer. 2018. (Lecture Notes in Computer Science).