Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking
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Risky sexual behaviors, including the decision to have unprotected sex, result from interactions between individuals and their environment. The current study explored the use of Agent-Based Modeling (ABM)—a methodological approach in which computer-generated artificial societies simulate human sexual networks—to assess the influence of heterogeneity of sexual motivation on the risk of contracting HIV. The models successfully simulated some characteristics of human sexual systems, such as the relationship between individual differences in sexual motivation (sexual excitation and inhibition) and sexual risk, but failed to reproduce the scale-free distribution of number of partners observed in the real world. ABM has the potential to inform intervention strategies that target the interaction between an individual and his or her social environment.
- Alam, S. J., Meyer, R., Ziervogel, G., & Moss, S. (2007). The impact of HIV/AIDS in the context of socioeconomic stressors: An evidence-driven approach. Journal of Artificial Societies and Social Simulation, 10(47). Retrieved from http://jasss.soc.surrey.ac.uk/JASSS.html
- Åmgo, A. (1999). Sexual motivation: An inquiry into events determining the occurrence of sexual behavior. Behavioural Brain Research, 105, 129–150. CrossRef
- Axelrod, R. (1997). The complexity of cooperation. Princeton, NJ: Princeton University Press.
- Bagni, R., Berchi, R., & Cariello, P. (2002). A comparison of simulation models applied to epidemics. Journal of Artificial Societies and Social Simulation, 5(3). Retrieved from http://jasss.soc.surrey.ac.uk/JASSS.html
- Bancroft, J. (2000). Individual differences in sexual risk-taking: A biopsychosocial theoretical approach. In J. Bancroft (Ed.), The role of theory in sex research (pp. 177–212). Bloomington, IN: Indiana University Press.
- Bancroft, J., Graham, C., Janssen, E., & Sanders, S. (2009). The dual control model: Current status and future directions. Journal of Sex Research, 46, 121–142. CrossRef
- Bancroft, J., & Janssen, E. (2000). The dual control model of male sexual response: A theoretical approach to centrally mediated erectile dysfunction. Neuroscience and Behavioral Reviews, 24, 571–579. CrossRef
- Bar-Yam, Y. (1997). Dynamics of complex systems. Boston: MIT Press.
- Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99, 7280–7287. CrossRef
- Bowlby, J. (1969). Attachment and loss: Vol. 1. Attachment. New York: Basic Books.
- Carpenter, D., Janssen, E., Graham, C., Vorst, H., & Wicherts, J. (2008). Women’s scores on the Sexual Excitation/Sexual Inhibition Scales (SIS/SES): Gender similarities and differences. Journal of Sex Research, 45, 36–48. CrossRef
- Centers for Disease Control and Prevention. (2001). STDs in adolescents and young adults. Homepage of Centers for Disease Control and Prevention. Retrieved from http://www.cdc.gov/STD/stats00/2000sfadol&yadults.htm
- Clark, A. (2001). Being there: Putting brain, body, and world together again. Cambridge, MA: MIT Press.
- Dezső, Z., & Barabási, A. L. (2002). Halting viruses in scale-free networks. Physical Review E, 65, 055103. doi:10.1103/PhysRevE.65.055103. CrossRef
- Doherty, I., Padian, N., Marlow, C., & Aral, S. (2005). Determinants and consequences of sexual networks as they affect the spread of sexually transmitted infections. Journal of Infectious Disease, 191(Suppl. 1), S42–S54. CrossRef
- Eliasmith, C. (2003). Moving beyond metaphors: Understanding the mind for what it is. Journal of Philosophy, 100, 493–520.
- Fausto-Sterling, A. (2003). Thinking systematically about the emergence of gender. Opening Plenary at the Women’s Sexualities: Historical, Interdisciplinary, and International Perspectives Conference, Bloomington, IN.
- Gilbert, N., & Troitzsch, K. (1999). Simulation for the social scientist. Buckingham: Open University Press.
- Glanz, K., Rimer, B. K., & Lewis, F. M. (2002). Theory, research, and practice in health behavior and education. In K. Glanz, R. Bimer, & F. Lewis (Eds.), Health behavior and education: Theory, research, and practice (pp. 22–39). San Francisco: Jossey-Bass.
- Goldstone, R. L., & Janssen, M. (2005). Computational models of collective behavior. Trends in Cognitive Science, 9, 1364–1366. CrossRef
- Graham, C., Janssen, E., & Sanders, S. A. (2000). Effects of fragrance on female sexual arousal and mood across the menstrual cycle. Psychophysiology, 37, 76–84. CrossRef
- Graham, C. A., Sanders, S. A., & Milhausen, R. (2006). The Sexual Excitation/Sexual Inhibition Inventory for Women: Psychometric properties. Archives of Sexual Behavior, 35, 397–409. CrossRef
- Graham, C. A., Sanders, S. A., Milhausen, R., & McBride, K. (2004). Turning on and turning off: A focus group study of the factors that affect women’s sexual arousal. Archives of Sexual Behavior, 33, 527–538. CrossRef
- Janssen, E., & Bancroft, J. (2007). The dual-control model: The role of sexual inhibition and excitation in sexual arousal and behavior. In E. Janssen (Ed.), The psychophysiology of sex (pp. 197–222). Bloomington, IN: Indiana University Press.
- Janssen, E., Vorst, H., Finn, P., & Bancroft, J. (2002a). The Sexual Inhibition (SIS) and Sexual Excitation (SES) Scales: I. Measuring sexual inhibition and excitation proneness in men. Journal of Sex Research, 39, 114–126. CrossRef
- Janssen, E., Vorst, H., Finn, P., & Bancroft, J. (2002b). The Sexual Inhibition (SIS) and Sexual Excitation (SES) Scales: II. Predicting psychophysiological response patterns. Journal of Sex Research, 39, 127–132. CrossRef
- Kopp, M. E. (1934). Birth control in practice: Analysis of ten thousand case histories of the Birth Control Clinical Research Bureau. New York: Robert M. McBride.
- Laumann, E. O., Gagnon, J. H., Michael, R. T., & Michaels, S. (1994). The social organization of sexuality: Sexual practices in the United States. Chicago: University of Chicago Press.
- Liljeros, F., Edling, C. R., Amaral, L., Stanley, H., & Aberg, Y. (2001). The web of human sexual contacts. Nature, 411, 907–908. CrossRef
- Macy, M., & Willer, R. (2002). From factors to actors: Computational sociology and agent based modeling. Annual Review of Sociology, 28, 143–166. CrossRef
- Newman, P., Duan, N., Rudy, E., & Anton, P. (2004). Challenges for HIV vaccine dissemination and clinical trial recruitment: If we build it, will they come? AIDS Patient Care and STDs, 18, 691–701. CrossRef
- Olsen, J., & Jepsen, A. R. (2010). Human papillomavirus transmission and cost-effectiveness of introducing quadrivalent HPV vaccination in Denmark. International Journal of Technology Assessment in Health Care, 26, 183–191. CrossRef
- Orra, M., & Evansa, C. R. (2011). Understanding long-term diffusion dynamics in the prevalence of adolescent sexual initiation: A first investigation using agent-based modeling. Research in Human Development, 8, 48–66. CrossRef
- Pietromonaco, R., & Feldman-Barret, L. (1997). Working models of attachment and daily social interaction. Journal of Personality and Social Psychology, 73, 1409–1423. CrossRef
- Reynolds, C. (2001). Boids: Background and update. Retrieved from http://www.red3d.com/cwr/boids/
- Rodgers, J., Rowe, D., & Buster, M. (1998). Social contagion, adolescent sexual behavior, and pregnancy: A nonlinear dynamic EMOSA model. Developmental Psychology, 34, 1096–1113. CrossRef
- Rothenberg, R. B., Potterat, J. J., Woodhouse, D. E., Muth, S. Q., Darrow, W. W., & Klovdahl, A. S. (1998). Social network dynamics and HIV transmission. AIDS, 12, 1529–1536. CrossRef
- Royce, R. A., Seña, A., Cates, W. J., & Cohen, M. S. (1997). Sexual transmission of HIV. New England Journal Medicine, 336, 1072–1078. CrossRef
- Sachs, B. (2007). A contextual definition of male sexual arousal. Hormones and Behavior, 51, 569–578. CrossRef
- Savage, T. (2000). Artificial motives: A review of motivation in artificial creatures. Connection Science, 12, 212–277. CrossRef
- Schroeder, K., & Rojas, F. (2002). A game theoretical analysis of sexually transmitted disease epidemics. Rationality and Society, 14, 353–383. CrossRef
- Shalizi, C. (2003). Methods and techniques of complex systems science: An overview. In T. S. Deisboeck & J. Y. Kresh (Eds.), Complex systems science in biomedicine (pp. 33–114). New York: Springer.
- Singer, B., & Toates, F. M. (1987). Sexual motivation. Journal of Sex Research, 23, 481–501. CrossRef
- Slob, A. K., Bax, C. M., Hop, W. C., Rowland, D. L., & ten Bosch, J. J. (1996). Sexual arousability and the menstrual cycle. Psychoneuroendocrinology, 21, 545–558. CrossRef
- Wallen, K. (1990). Desire and ability: Hormones and the regulation of female sexual behavior. Neuroscience and Biobehavioral Reviews, 14, 233–241. CrossRef
- Wallen, K., & Zehr, J. (2004). Hormones and history: The evolution and development of primate female sexuality. Journal of Sex Research, 41, 101–112. CrossRef
- Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking
Archives of Sexual Behavior
Volume 41, Issue 4 , pp 849-860
- Cover Date
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Sexual risk taking
- Sexual motivation
- Sexual inhibition
- Agent-based modeling
- Industry Sectors
- Author Affiliations
- 1. Student Affairs, Smith College, Northampton, MA, USA
- 2. Kinsey Institute for Research in Sex, Gender and Reproduction, Indiana University, Morrison Hall 313, 1165 East Third Street, Bloomington, IN, 47405-2501, USA
- 3. Department of Applied Health Science, Indiana University, Bloomington, IN, USA
- 4. Department of Computer Science, Indiana University, Bloomington, IN, USA