Charlotte Commu , Jan Treur , Annemieke Dols , Yolande A.L. Pijnenburg
{"title":"An adaptive network model for a possible therapy for the effects of a certain type of dementia on social functioning","authors":"Charlotte Commu , Jan Treur , Annemieke Dols , Yolande A.L. Pijnenburg","doi":"10.1016/j.bica.2018.10.002","DOIUrl":null,"url":null,"abstract":"<div><p><span>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 </span>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.</p></div>","PeriodicalId":48756,"journal":{"name":"Biologically Inspired Cognitive Architectures","volume":"26 ","pages":"Pages 145-158"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bica.2018.10.002","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biologically Inspired Cognitive Architectures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212683X18301336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Psychology","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research.
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
