A computational network model for the effects of certain types of dementia on social functioning

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

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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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.

Original languageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publication10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part I
EditorsNgoc Thanh Nguyen, Elias Pimenidis, Zaheer Khan, Bogdan Trawinski
PublisherSpringer/Verlag
Pages119-133
Number of pages15
Volume1
ISBN (Electronic)9783319984438
ISBN (Print)9783319984421
DOIs
Publication statusPublished - 2018
Event10th International Conference on Computational Collective Intelligence, ICCCI 2018 - Bristol, United Kingdom
Duration: 5 Sept 20187 Sept 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11055 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Computational Collective Intelligence, ICCCI 2018
Country/TerritoryUnited Kingdom
CityBristol
Period5/09/187/09/18

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