An Agent Model for Temporal Dynamics Analysis of a Person with Chronic Fatigue Syndrome

  • Azizi Ab Aziz
  • Faudziah Ahmad
  • Houzifa M. Hintaya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7670)


This paper presents a dynamic agent model of chronic fatigue syndrome for an individual. Chronic fatigue syndrome is the most common name to define a group of cognitive and medical disorders caused by persistent fatigue. Based on several personal characteristics, viral infection, and a representation of events (i.e. psychological and physiological stressors), the agent model can simulate whether a human agent that experience certain scenarios will fall into a chronic fatigue condition. A number of well-known relations between events and the course of chronic fatigue 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 therapy, supported by a software agent.


Agent Based Modeling Human Aware System Cognitive Modeling Chronic Fatigue Syndrome 


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  1. 1.
    Afari, N., Buchwald, D.: Chronic Fatigue Syndrome: A Review. Psychiatry 160, 221–236 (2003)Google Scholar
  2. 2.
    Aziz, A.A., Treur, J.: Modelling Dynamics of Social Support Networks for Mutual Support in Coping with Stress. In: Nguyen, N.T., Katarzyniak, R.P., Janiak, A. (eds.) New Challenges in Computational Collective Intelligence. SCI, vol. 244, pp. 167–179. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  3. 3.
    Bagnall, A., Whiting, P., Richardson, R., Sowden, A.: Interventions for the Treatment and Management of Chronic Fatigue Syndrome/ Myalgic Encephalomyelitis. Qual. Saf. Health Care 11, 284–288 (2002)CrossRefGoogle Scholar
  4. 4.
    Bosse, T., Jonker, C.M., van der Meij, L., Sharpanskykh, A., Treur, J.: Specification and Verification of Dynamics in Agent Models. International Journal of Cooperative Information Systems (18), 167–1193 (2009)Google Scholar
  5. 5.
    Christley, Y., Duffy, T., Martin, C.: A Review of the Definitional Criteria for Chronic Fatigue. Journal of Evaluation in Clinical Practice 18, 25–31 (2010)CrossRefGoogle Scholar
  6. 6.
    Courjaret, J., Schotteb, C., Wijnantsc, H., Moorkensc, G., Cosyns, P.: Chronic Fatigue Syndrome and DSM-IV Personality Disorders. Journal of Psychosomatic Research 66, 13–20 (2009)CrossRefGoogle Scholar
  7. 7.
    Dick, M., Sundin, J.: Psychological and Psychiatric Causes of Fatigue. Australian Family Physician 32(11) (2003)Google Scholar
  8. 8.
    Goodnick, P.J.: Chronic Fatigue and Related Immune Deficiency Syndromes, Washington, DC, vol. 40 (2001)Google Scholar
  9. 9.
    Harvey, S., Wadsworth, M., Hotopf, M., Wessely, S.: The Relationship between Prior Psychiatric Disorder and Chronic Fatigue: Evidence from a National Birth Cohort Study. Psychol. Med. 38(7), 933–940 (2008)CrossRefGoogle Scholar
  10. 10.
    Harvey, S., Wessely, S.: Chronic Fatigue Syndrome: Identifying Zebras Amongst the Horses. BMC Med. 7(58) (2009)Google Scholar
  11. 11.
    Harvey, S., Wessely, S.: Commentary Open Access Chronic Fatigue Syndrome: Identifying Zebras Amongst the Horses. BMC Medicine 7, 58 (2009)CrossRefGoogle Scholar
  12. 12.
    Hempel, S., Chambers, D., Bagnall, A., Forbes, C.: Risk Factors for Chronic Fatigue Syndrome/myalgic Encephalomyelitis: a Systematic Scoping Review of Multiple Predictor Studies. Psychological Medicine, 1–12 (2007)Google Scholar
  13. 13.
    Kai-Wen, C.: A Study of Stress Sources among College Students in Taiwan. Journal of Academic and Business Ethics, 1–6 (2010)Google Scholar
  14. 14.
    Kocalevent, R., Hinz, A., Brähler, E., Klapp, B.: Determinants of Fatigue and Stress. BMC Research Notes 4, 238 (2011)CrossRefGoogle Scholar
  15. 15.
    Lin, J., Resch, S., Brimmer, D., Johnson, A., Kennedy, S., Burstein, N., Simon, C.: The Economic Impact of Chronic Fatigue Syndrome in Georgia: Direct and Indirect Costs. Cost Effectiveness and Resource Allocation (9), 1 (2008)Google Scholar
  16. 16.
    Maes, M., Twisk, F.: Chronic Fatigue Syndrome: Harvey and Wessely’s (Bio) Psychosocial Model versus a Bio (Psychosocial) Model Based on Inflammatory and Oxidative and Nitrosative Stress Pathways. BMC Medicine 8, 35 (2010)CrossRefGoogle Scholar
  17. 17.
    Moustaka, E.: Sources and Effects of Work-related Stress in Nursing. Health Science Journal 4(4), 210–216 (2010)Google Scholar
  18. 18.
    Nater, U., Jones, J., Lin, J., Maloney, E., Reeves, W., Heim, C.: Personality Features and Personality Disorders in Chronic Fatigue Syndrome: A Population-Based Study. Psychother Psychosom. 79, 312–318 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Azizi Ab Aziz
    • 1
    • 2
  • Faudziah Ahmad
    • 2
  • Houzifa M. Hintaya
    • 2
  1. 1.ITU-UUM Asia Pacific Centre of Excellence for Rural ICT DevelopmentUniversiti Utara MalaysiaSintokMalaysia
  2. 2.Bio-Inspired Agent Research Group, Artificial Intelligence Laboratory, School of Computing, College of Arts & SciencesUniversiti Utara MalaysiaSintokMalaysia

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