Modeling the dynamics of mood and depression

Fiemke Both; Mark Hoogendoorn; Michel Klein; Jan Treur

doi:10.3233/978-1-58603-891-5-266

Modeling the dynamics of mood and depression

Fiemke Both, Mark Hoogendoorn, Michel Klein, Jan Treur

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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 language	English
Title of host publication	Proc. of the 18th European Conference on Artificial Intelligence, ECAI 2008
Publisher	IOS Press
Pages	266-270
Number of pages	5
ISBN (Print)	978158603891
DOIs	https://doi.org/10.3233/978-1-58603-891-5-266
Publication status	Published - Jun 2008
Event	18th European Conference on Artificial Intelligence, ECAI 2008 - Patras, Greece Duration: 21 Jul 2008 → 25 Jul 2008

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	178
ISSN (Print)	0922-6389

Conference

Conference	18th European Conference on Artificial Intelligence, ECAI 2008
Country/Territory	Greece
City	Patras
Period	21/07/08 → 25/07/08

Bibliographical note

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

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10.3233/978-1-58603-891-5-266

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title = "Modeling the dynamics of mood and depression",

abstract = "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.",

author = "Fiemke Both and Mark Hoogendoorn and Michel Klein and Jan Treur",

note = "Publisher Copyright: {\textcopyright} 2008 The authors and IOS Press. All rights reserved.; 18th European Conference on Artificial Intelligence, ECAI 2008 ; Conference date: 21-07-2008 Through 25-07-2008",

year = "2008",

month = jun,

doi = "10.3233/978-1-58603-891-5-266",

language = "English",

isbn = "978158603891",

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Both, F, Hoogendoorn, M , Klein, M & Treur, J 2008, Modeling the dynamics of mood and depression. in Proc. of the 18th European Conference on Artificial Intelligence, ECAI 2008. Frontiers in Artificial Intelligence and Applications, vol. 178, IOS Press, pp. 266-270, 18th European Conference on Artificial Intelligence, ECAI 2008, Patras, Greece, 21/07/08. https://doi.org/10.3233/978-1-58603-891-5-266

Modeling the dynamics of mood and depression. / Both, Fiemke; Hoogendoorn, Mark ; Klein, Michel et al.
Proc. of the 18th European Conference on Artificial Intelligence, ECAI 2008. IOS Press, 2008. p. 266-270 (Frontiers in Artificial Intelligence and Applications; Vol. 178).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Treur, Jan

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Y1 - 2008/6

N2 - 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.

AB - 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.

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BT - Proc. of the 18th European Conference on Artificial Intelligence, ECAI 2008

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Modeling the dynamics of mood and depression

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