Individual decision making can drive epidemics: A fuzzy cognitive map study

IEEE Transactions on Fuzzy Systems

Volumn 22, Issue 2, 2014, Pages 264-273

  Mei, Shan ^a   Zhu, Yifan ^a   Qiu, Xiaogang ^a   Zhou, Xuan ^b   Zu, Zhenghu ^c   Boukhanovsky, A V ^d   Sloot, P M A ^d,e,f  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b CHONGQING COMMUNICATION INSTITUTE   (China)

^c BEIJING INSTITUTE OF BIOTECHNOLOGY   (China)

^d ITMO UNIVERSITY   (Russian Federation)

^e UNIVERSITY OF AMSTERDAM   (Netherlands)

^f NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Agent based modeling; complex networks; fuzzy cognitive maps (FCMs); infectious diseases; influenza A H1N1 ; unsupervised learning

Indexed keywords

COGNITIVE SYSTEMS; COMPLEX NETWORKS; DECISION MAKING; FUZZY SYSTEMS; LARGE SCALE SYSTEMS; UNSUPERVISED LEARNING;

AGENT-BASED MODEL; CAUSAL RELATIONSHIPS; FUZZY COGNITIVE MAP; FUZZY COGNITIVE MAPS (FCMS); INDIVIDUAL BEHAVIOR; INDIVIDUAL DECISION MAKING; INFECTIOUS DISEASE; INFLUENZA A;

FUZZY RULES;

EID: 84897561943     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2013.2251638     Document Type: Article

References (49)

1. P. Sloot and A. Hoekstra, "Multi-scale modelling in computational biomedicine, " Brief Bioinf., vol. 11, no. 1, pp. 142-152, 2010.
2. A. Hoekstra, J. Kroc, and P. Sloot, "Simulating complex systems by cellular automata, " in Understanding Complex Systems. Berlin, Germany: Springer, 2010.
3. B.Roche, J.-F. Guegan, andF.Bousquet, "Multi-agent systemsinepidemi-ology: A first step for computational biology in the study of vector-borne disease transmission, " BMC Bioinf., vol. 9, no. 1, p. 435, 2008. Available: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2600827/
4. R. Bagni, R. Berchi, and P. Cariello, "A comparison of simulation models applied to epidemics, " J. Artif. Soc. Soc. Simul., vol. 5, no. 3, 2002. Available: http://jasss.soc.surrey.ac.uk/5/3/5.html
5. A. H. Auchincloss and A. V. Diez Roux, "A new tool for epidemiology: The usefulness of dynamic-agent models in understanding place effects on health, " Amer. J. Epidemiol., vol. 168, no. 1, pp. 1-8, 2008. (Pubitemid 351881895)
6. P. M. A. Sloot, S. V. Ivanov, A. V. Boukhanovsky, D. v. d. Vijver, and C. Boucher, "Stochastic simulation of HIV population dynamics through complex network modeling, " Int. J. Comput. Math., vol. 85, no. 8, pp. 1175-1187, 2008.
7. D. Karlsson, A. Jansson, B. H. Normark, and P. Nilsson, "An individual-based network model to evaluate interventions for controlling pneumo-coccal transmission, " BMC Infect. Diseases, vol. 8, 2008. Available: http://www.biomedcentral.com/1471-2334/8/83
8. S. Mei, P. Sloot, R. Quax, Y. Zhu, and W. Wang, "Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam, " Math. Comput. Simul., vol. 80, no. 5, pp. 1018-1030, 2010.
9. S. Mei, D. v. d. Vijver, L. Xuan, Y. Zhu, and P. Sloot, "Quantitatively evaluating interventions in the influenza a (H1N1) epidemic on China campus grounded on individual-based simulations, " in Proc. Int. Conf. Comput. Sci., Amsterdam, The Netherlands, 2010, pp. 1669-1676.
10. S. Mei, R. Quax, D. v. d. Vijver, Y. Zhu, and P. Sloot, "Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam, " BMC Infect. Diseases, vol. 11, 2011. Available: http://www.biomedcentral.com/1471-2334/11/ 118
11. R. J. Dolan, "Emotion, cognition, and behavior, " Science, vol. 298, no. 8, pp. 1191-1194, 2002.
12. K. N. Ochsner and E. Phelps, "Emerging perspectives on emotion-cognition interactions, " Trends Cognit. Sci., vol. 11, no. 8, pp. 317-318, 2007. (Pubitemid 47077915)
13. C. E. Izard, "Basic emotions, relations among emotions, and emotion-cognition relations, " Psychol. Rev., vol. 99, no. 3, pp. 561-565, 1992.
14. R. Yu and G. Tzeng, "A soft computing method for multi-criteria decision making with dependence and feedback, " Appl. Math. Comput., vol. 180, pp. 63-75, 2006. (Pubitemid 44331324)
15. B. Kosko, "Fuzzy cognitive maps, " Int. J. Man-Mach. Stud., vol. 24, pp. 65-75, 1986. (Pubitemid 16112861)
16. S. Pal and A. Konar, "Cognitive reasoning using fuzzy neural nets, " IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 26, no. 4, pp. 616-619, Aug. 1996. (Pubitemid 126780601)
17. A. Konar and U. K. Chakraborty, "Reasoning and unsupervised learning in a fuzzy cognitive map, " Inf. Sci., vol. 170, pp. 419-C441, 2005.
18. A. Konar, U. K. Chakraborty, and P. P. Wang, "Supervised learning on a fuzzy petri net, " Inf. Sci., vol. 172, pp. 397-416, 2005. (Pubitemid 40654870)
19. W.-R. Zhang, "NPN fuzzy sets and NPN qualitative algebra: A computational framework for bipolar cognitive modeling and multiagent decision analysis, " IEEE Trans. Syst., Man, Cybern., vol. 26, no. 4, pp. 561-574, Aug. 1996. (Pubitemid 126780596)
20. D. Yaman and S. Polat, "A fuzzy cognitive map approach for effect-based operations: An illustrative case, " Inf. Sci., vol. 179, pp. 382-403, 2009.
21. W. Yu-jie, W. Zhi-liang, W. Guo-jiang, and C. Feng-jun, "Research on emotion agent model based on fuzzy cognitive map, " Comput. Eng. Appl., vol. 43, no. 17, pp. 1-3, 2007.
22. G. Acampora and V. Loia, "On the temporal granularity in fuzzy cognitive maps, " IEEE Trans. Fuzzy Syst., vol. 19, no. 6, pp. 1040-1057, Dec. 2011.
23. H. Song, C. Miao, R. Wuyts, Z. Shen, M. D'Hondt, and F. Catthoor, "An extension to fuzzy cognitive maps for classification and prediction, " IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 116-135, Feb. 2011.
24. J. Dickerson and B. Kosko, "Virtual worlds as fuzzy cognitive maps, " in Fuzzy Engineering. Upper Saddle River, NJ, USA: Prentice-Hall, 1997, pp. 125-141.
25. B. Kosko, Neural Networks and Fuzzy Systems. Englewood Cliffs, NJ, USA: Prentice-Hall, 1992.
26. G. Xirogiannis, J. Stefanou, and M. Glykas, "A fuzzy cognitive map approach to support urban design, " Expert Syst. Appl., vol. 26, pp. 257-268, 2004.
27. H. Zhuge and X. Luo, "Automatic generation of document semantics for the e-science knowledge grid, " J. Syst. Softw., vol. 79, pp. 969-983, 2006. (Pubitemid 43765967)
28. M. Liu and L. Xu, "The applications of artificial emotions in agent behavior selection strategies, " J. Jiangnan Univ. (Natural Sci.), vol. 2, no. 6, pp. 564-568, 2003.
29. J. Dao-Ping, B. Xiao-Juan, Y. YiXin, and S. Wei-Ren, "Research on emotion theory and the decision models based on emotion, " Comput. Sci., vol. 34, no. 4, pp. 154-170, 2007.
30. A. Damasio, Descartes' Error: Emotion, Reason, and the Human Brain. New York, NY, USA: Penguin, 1994.
31. G. XueJing, S. ZhiGuo, and W. ZhiLiang, "BDI agent based emotional robots' voice recognition technology, " Comput. Appl. Res., vol. 4, pp. 24-26, 2003.
32. T. XuYan, "Artificial emotions, " in Proc. Artif. Intell. Progr. China, 2003, pp. 27-31.
33. S. C. Gadanho, "Emotion triggered learning in autonomous robot control, " Cybern. Syst., vol. 32, no. 5, pp. 531-559, 2001. (Pubitemid 33730971)
34. D. Goleman, Emotional Intelligence. New York, NY, USA: Bantam, 1995.
35. E. I. Papageorgiou, C. Stylios, and P. P. Groumpos, "Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links, " Int. J. Human-Comput. Stud., vol. 64, no. 8, pp. 727-743, 2006. (Pubitemid 44269293)
36. E. Papageorgiou, C. Stylios, and P. Groumpos, "Fuzzy cognitive map learning based on nonlinear Hebbian rule, " in Advances in Artificial Intelligence, vol. 2903, T. D. Gedeon and L. C. C. Fung, Eds. Berlin, Germany: Springer-Verlag, 2003, pp. 254-266.
37. E. I. Papageorgiou and P. P. Groumpos, "A new hybrid method using evolutionary algorithms to train fuzzy cognitive maps, " Appl. Soft Comput., vol. 5, no. 4, pp. 409-431, 2005. (Pubitemid 40690976)
38. Wikipedia "Influenza a virus subtype H1N1, " 2009.
39. D. Gatherer, "The 2009 H1N1 influenza outbreak in its historical context, " J. Clin. Virol., vol. 45, no. 3, pp. 174-178, 2009.
40. D. A. Fitzgerald, "Human swine influenza a [H1N1]: Practical advice for clinicians early in the pandemic, " Paediatr. Respir. Rev., vol. 10, no. 3, pp. 154-158, 2009.
41. S. Wasserman and K. Faust, Social Network Analysis. Cambridge, U.K.: Cambridge Univ. Press, 1994.
42. D. J. Watts and S. H. Strogatz, "Collective dynamics of small-world networks, " Nature, vol. 393, pp. 440-442, 1998.
43. L. A. N. Amaral, A. Scala, M. Barthelemy, and H. E. Stanley, "Classes of small-world networks, " in Proc. Natl. Acad. Sci. USA, 2000, vol. 97, pp. 11149-11152.
44. W. Aiello, F. Chung, and L. Lu, "A random graph model for massive graphs, " in Proc. 32nd Annu. ACM Symp. Theory Comput., 2000, pp. 171-180.
45. W. Aiello, F. Chung, and L. Lu, in Random Evolution of Massive Graphs, J. Abello, P. M. Pardalos, and M. G. C. Resende, Eds. Dordrecht, The Netherlands: Kluwer, 2002.
46. F. Liljeros, C. R. Edling, and L. A. N. Amaral, "Sexual networks: Implication for the transmission of sexually transmitted infection, " in Microbes Infect., 2003.
47. F. Liljeros, C. R. Edling, L. A. N. Amaral, H. E. Stanley, and Y. Aberg, "The web of human sexual contacts, " Nature, vol. 411, pp. 907-908, 2001.
48. A. Schneeberger, R. Nat, C. H. Mercer, S. A. J. Gregson, N. M. Ferguson, C. A. Nyamukapa, R. M. Anderson, A. M. Johnson, and G. P. Garnett, "Scale-free networks and sexually transmitted diseases: A description of observed patterns of sexual contacts in Britain and Zimbabwe, " Sexually Transmitted Diseases, vol. 31, no. 6, pp. 380-387, 2004. (Pubitemid 38691970)
49. P. M. A. Sloot, P. V. Coveney, G. Ertaylan, V. Müller, C. A. Boucher, and M. Bubak, "HIV decision support: From molecule to man, " Philos. Trans. Roy. Soc. A, vol. 367, no. 1898, pp. 2691-2703, 2009.