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

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


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 - 10th International Conference, ICCCI 2018, Proceedings
EditorsNgoc Thanh Nguyen, Elias Pimenidis, Zaheer Khan, Bogdan Trawinski
PublisherSpringer Verlag
Volume11055 LNAI
ISBN (Print)9783319984421
Publication statusPublished - 2018
Event10th International Conference on Computational Collective Intelligence, ICCCI 2018 - Bristol, United Kingdom
Duration: 5 Sep 20187 Sep 2018

Publication series

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


Conference10th International Conference on Computational Collective Intelligence, ICCCI 2018
Country/TerritoryUnited Kingdom

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