Modeling the dynamics of mood and depression

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


Both for developing human-like virtual agents and for developing intelligent systems that make use of knowledge about the emotional state of the user, it is important to model the mood of a person. In this paper, a model for simulating the dynamics of mood is presented, based on psychological theories about a unipolar clinical depression. The model was analyzed mathematically and by means of simulations, and it was shown that the model exhibits the most important characteristics of the theories. It shows how stress factors under some conditions can lead to a depression, while it will not lead to a depression under other conditions.

Original languageEnglish
Title of host publicationProc. of the 18th European Conference on Artificial Intelligence, ECAI 2008
PublisherIOS Press
Number of pages5
ISBN (Print)978158603891
Publication statusPublished - Jun 2008
Event18th European Conference on Artificial Intelligence, ECAI 2008 - Patras, Greece
Duration: 21 Jul 200825 Jul 2008

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


Conference18th European Conference on Artificial Intelligence, ECAI 2008

Bibliographical note

Publisher Copyright:
© 2008 The authors and IOS Press. All rights reserved.


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