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No abstract

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

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. to be over 690.000 (Alzheimer Nederland, 2017).