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

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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. © 2009 Springer Berlin Heidelberg.
Original languageEnglish
Title of host publicationNext-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings
PublisherSpringer/Verlag
Pages36-45
Number of pages10
Volume5579 LNAI
ISBN (Print)3642025676, 9783642025679
DOIs
Publication statusPublished - 2009
Event22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 - Tainan, Taiwan, Province of China
Duration: 24 Jun 200927 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5579 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009
CountryTaiwan, Province of China
CityTainan
Period24/06/0927/06/09

Keywords

  • Agent Based Modeling
  • Relapse and Recurrent in Depression
  • Temporal Dynamics

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