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

  • Azizi A. Aziz
  • Michel C. A. Klein
  • Jan Treur
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5579)


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.


Agent Based Modeling Temporal Dynamics Relapse and Recurrent in Depression 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Azizi A. Aziz
    • 1
  • Michel C. A. Klein
    • 1
  • Jan Treur
    • 1
  1. 1.Agent Systems Research Group, Department of Artificial IntelligenceVrije Universiteit AmsterdamAmsterdamThe Netherlands

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