An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression

A.A. Aziz; M.C.A. Klein; J. Treur

doi:10.1007/978-3-642-02568-6_4

An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression

A.A. Aziz
, M.C.A. Klein
, J. Treur

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

Abstract

This paper presents a dynamic agent model of recurrences of a depression for an individual. Based on several personal characteristics and a representation of events (i.e. life events or daily hassles) the agent model can simulate whether a human agent that recovered from a depression will fall into a relapse or recurrence. A number of well-known relations between events and the course of depression are summarized from the literature and it is shown that the model exhibits those patterns. In addition, the agent model has been mathematically analyzed to find out which stable situations exist. Finally, it is pointed out how this model can be used in depression therapy, supported by a software agent. © 2009 Springer Berlin Heidelberg.

Original language	English
Title of host publication	Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings
Publisher	Springer/Verlag
Pages	36-45
Number of pages	10
Volume	5579 LNAI
ISBN (Print)	3642025676, 9783642025679
DOIs	https://doi.org/10.1007/978-3-642-02568-6_4
Publication status	Published - 2009
Event	22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 - Tainan, Taiwan, Province of China Duration: 24 Jun 2009 → 27 Jun 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5579 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009
Country/Territory	Taiwan, Province of China
City	Tainan
Period	24/06/09 → 27/06/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Agent Based Modeling
Relapse and Recurrent in Depression
Temporal Dynamics

Access to Document

10.1007/978-3-642-02568-6_4

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Aziz, A. A., Klein, M. C. A., & Treur, J. (2009). An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression. In Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings (Vol. 5579 LNAI, pp. 36-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5579 LNAI). Springer/Verlag. https://doi.org/10.1007/978-3-642-02568-6_4

Aziz, A.A. ; Klein, M.C.A. ; Treur, J. / An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression. Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. Vol. 5579 LNAI Springer/Verlag, 2009. pp. 36-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper presents a dynamic agent model of recurrences of a depression for an individual. Based on several personal characteristics and a representation of events (i.e. life events or daily hassles) the agent model can simulate whether a human agent that recovered from a depression will fall into a relapse or recurrence. A number of well-known relations between events and the course of depression are summarized from the literature and it is shown that the model exhibits those patterns. In addition, the agent model has been mathematically analyzed to find out which stable situations exist. Finally, it is pointed out how this model can be used in depression therapy, supported by a software agent. {\textcopyright} 2009 Springer Berlin Heidelberg.",

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Aziz, AA, Klein, MCA & Treur, J 2009, An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression. in Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. vol. 5579 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5579 LNAI, Springer/Verlag, pp. 36-45, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, Province of China, 24/06/09. https://doi.org/10.1007/978-3-642-02568-6_4

An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression. / Aziz, A.A.; Klein, M.C.A.; Treur, J.
Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. Vol. 5579 LNAI Springer/Verlag, 2009. p. 36-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5579 LNAI).

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

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AU - Klein, M.C.A.

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PY - 2009

Y1 - 2009

N2 - This paper presents a dynamic agent model of recurrences of a depression for an individual. Based on several personal characteristics and a representation of events (i.e. life events or daily hassles) the agent model can simulate whether a human agent that recovered from a depression will fall into a relapse or recurrence. A number of well-known relations between events and the course of depression are summarized from the literature and it is shown that the model exhibits those patterns. In addition, the agent model has been mathematically analyzed to find out which stable situations exist. Finally, it is pointed out how this model can be used in depression therapy, supported by a software agent. © 2009 Springer Berlin Heidelberg.

AB - This paper presents a dynamic agent model of recurrences of a depression for an individual. Based on several personal characteristics and a representation of events (i.e. life events or daily hassles) the agent model can simulate whether a human agent that recovered from a depression will fall into a relapse or recurrence. A number of well-known relations between events and the course of depression are summarized from the literature and it is shown that the model exhibits those patterns. In addition, the agent model has been mathematically analyzed to find out which stable situations exist. Finally, it is pointed out how this model can be used in depression therapy, supported by a software agent. © 2009 Springer Berlin Heidelberg.

KW - Agent Based Modeling

KW - Relapse and Recurrent in Depression

KW - Temporal Dynamics

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DO - 10.1007/978-3-642-02568-6_4

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SN - 9783642025679

VL - 5579 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 45

BT - Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings

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Aziz AA, Klein MCA , Treur J. An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression. In Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. Vol. 5579 LNAI. Springer/Verlag. 2009. p. 36-45. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02568-6_4

An Agent Model of Temporal Dynamics in Relapse and Recurrence in Depression

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Persistent URL (handle)

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