An adaptive network model for a possible therapy for the effects of a certain type of dementia on social functioning

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

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This paper first describes a temporal-causal network model for recognition of emotions shown by others. The model can show both normal functioning and dysfunctioning, such as can be the case with certain types of dementia. More specifically the focus of the paper is on a specific type of therapy that has been incorporated in the model (thus becoming adaptive) to study the effects and potentials of this therapy to improve the dysfunctional behaviour. Simulations have been performed to test the model. 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, and what a therapy can contribute to improve the situation.

LanguageEnglish
Pages145-158
Number of pages14
JournalBiologically Inspired Cognitive Architectures
Volume26
DOIs
Publication statusPublished - Oct 2018

Fingerprint

Dementia
Emotions
Therapeutics

Bibliographical note

Available online 20 November 2018

Keywords

  • Adaptive network model
  • Dementia
  • Social functioning

Cite this

@article{9c036855533b468c95cca05ff449157c,
title = "An adaptive network model for a possible therapy for the effects of a certain type of dementia on social functioning",
abstract = "This paper first describes a temporal-causal network model for recognition of emotions shown by others. The model can show both normal functioning and dysfunctioning, such as can be the case with certain types of dementia. More specifically the focus of the paper is on a specific type of therapy that has been incorporated in the model (thus becoming adaptive) to study the effects and potentials of this therapy to improve the dysfunctional behaviour. Simulations have been performed to test the model. 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, and what a therapy can contribute to improve the situation.",
keywords = "Adaptive network model, Dementia, Social functioning",
author = "Charlotte Commu and Jan Treur and Annemieke Dols and Pijnenburg, {Yolande A.L.}",
note = "Available online 20 November 2018",
year = "2018",
month = "10",
doi = "10.1016/j.bica.2018.10.002",
language = "English",
volume = "26",
pages = "145--158",
journal = "Biologically Inspired Cognitive Architectures",
issn = "2212-683X",
publisher = "Elsevier BV",

}

An adaptive network model for a possible therapy for the effects of a certain type of dementia on social functioning. / Commu, Charlotte; Treur, Jan; Dols, Annemieke; Pijnenburg, Yolande A.L.

In: Biologically Inspired Cognitive Architectures, Vol. 26, 10.2018, p. 145-158.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - An adaptive network model for a possible therapy for the effects of a certain type of dementia on social functioning

AU - Commu, Charlotte

AU - Treur, Jan

AU - Dols, Annemieke

AU - Pijnenburg, Yolande A.L.

N1 - Available online 20 November 2018

PY - 2018/10

Y1 - 2018/10

N2 - This paper first describes a temporal-causal network model for recognition of emotions shown by others. The model can show both normal functioning and dysfunctioning, such as can be the case with certain types of dementia. More specifically the focus of the paper is on a specific type of therapy that has been incorporated in the model (thus becoming adaptive) to study the effects and potentials of this therapy to improve the dysfunctional behaviour. Simulations have been performed to test the model. 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, and what a therapy can contribute to improve the situation.

AB - This paper first describes a temporal-causal network model for recognition of emotions shown by others. The model can show both normal functioning and dysfunctioning, such as can be the case with certain types of dementia. More specifically the focus of the paper is on a specific type of therapy that has been incorporated in the model (thus becoming adaptive) to study the effects and potentials of this therapy to improve the dysfunctional behaviour. Simulations have been performed to test the model. 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, and what a therapy can contribute to improve the situation.

KW - Adaptive network model

KW - Dementia

KW - Social functioning

UR - http://www.scopus.com/inward/record.url?scp=85056672402&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056672402&partnerID=8YFLogxK

U2 - 10.1016/j.bica.2018.10.002

DO - 10.1016/j.bica.2018.10.002

M3 - Article

VL - 26

SP - 145

EP - 158

JO - Biologically Inspired Cognitive Architectures

T2 - Biologically Inspired Cognitive Architectures

JF - Biologically Inspired Cognitive Architectures

SN - 2212-683X

ER -