Modelling Human Behaviour in Agent-Based Models

Chapter

Abstract

The modelling of human behaviour is not at all obvious. First, humans are not random. Second, humans are diverse in their knowledge and abilities. Third, besides being controlled by rational decision-making, human behaviour is also emotional. This chapter attempts to present principles driving human behaviour and reviews current approaches to modelling human behaviour.

References

  1. Anderson, J. R. (2007). How can the human mind occur in the physical Universe? Oxford: Oxford University Press.CrossRefGoogle Scholar
  2. Anderson, J. R., & Lebiere, C. (1998). The atomic components of thought. Mahwah: Lawrence Erlbaum Associates.Google Scholar
  3. Anderson, J. R., Bothell, D., Byrne, M. D., Douglas, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of mind. Psychological Review, 111(4), 1036–1060.CrossRefGoogle Scholar
  4. Coleman, J. S. (1990). Foundations of social theory. Cambridge, Massachusetts, USA.Google Scholar
  5. Damasio, A. (1994). Decartes’ error: Emotion, reason and the human brain. New York: Penguin.Google Scholar
  6. Dunbar, R. (2004). The human story. London: Faber & Faber.Google Scholar
  7. Evans, D. (2001). Emotion: The science of sentiment. New York: Oxford University Press.Google Scholar
  8. Eysenck, H. J. (1967/2006). The biological basis of personality. Springfield: Charles C Thomas.Google Scholar
  9. Friedkin, N. E., & Johnsen, E. C. (1999). Social influence networks and opinion change. Advances in Group Processes, 16, 1–29.Google Scholar
  10. Gigerenzer, G. (2007). Gut feelings: The intelligence of the unconscious. New York: Penguin.Google Scholar
  11. Hannon, B., & Ruth, M. (1994). Dynamic modeling. New York: Springer.Google Scholar
  12. Izard, C. E. (2007). Basic emotions, natural kinds, emotion schemas, and a new paradigm. Perspectives on Psychological Science, 2(3), 260–280.CrossRefGoogle Scholar
  13. James, W. (1892/2001). Psychology, the briefer course. Mineola: Dover Publications.Google Scholar
  14. Kahneman, D. (2003). A perspective on judgment and choice. American Psychologist, 58, 697–720.CrossRefGoogle Scholar
  15. Kennedy, J., & Eberhart, R. (2001). Swarm intelligence. Waltham: Morgan Kaufmann Academic Press.Google Scholar
  16. Latané, B. (1981). The psychology of social impact. American Psychologist, 36(4), 343–356.CrossRefGoogle Scholar
  17. LeDoux, J. E. (1995). EMOTION: Clues from the brain. Annual Review of Psychology, 46, 209–235.CrossRefGoogle Scholar
  18. Lehman, J. F., Laird, J., & Rosenbloom, P. (2006). A gentle introduction to Soar, an architecture for human cognition: 2006 update. URL: http://ai.eecs.umich.edu/soar/sitemaker/docs/misc/GentleIntroduction-2006.pdf
  19. Loewenstein, G. F., & Lerner, J. S. (2003). The role of affect in decision making. In R. J. Davidson, K. R. Scherer, & H. H. Goldsmith (Eds.), Handbook of affective science (pp. 619–642). Oxford: Oxford University Press.Google Scholar
  20. Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50, 370–396.CrossRefGoogle Scholar
  21. McCrae, R. R., & Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81–90.CrossRefGoogle Scholar
  22. Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.Google Scholar
  23. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs: Prentice-Hall.Google Scholar
  24. Pinker, S. (2002). The blank slate. New York: Viking Penguin.Google Scholar
  25. Rao, A. S., & Georgeff, M. P. (1995). BDI-agents: From theory to practice. In Proceedings of the First International Conference on Multi-Agents-Systems. Menlo: AAAI Press.Google Scholar
  26. Scherer, K. R. (1999). Appraisal theory. In T. Dalgleish & M. Power (Eds.), Handbook of cognition and emotion (pp. 637–663). New York: Wiley.Google Scholar
  27. Schmidt, B. (2002). Modelling of human behaviour the PECS reference model. In A. Verbraeck & W. Krug (Eds.) Proceedings of the 14th European Simulation Symposium, SCS Europe BVBA.Google Scholar
  28. Simon, H. (1996). The sciences of the artificial (3rd ed.). Cambridge: MIT Press.Google Scholar
  29. Stone, R. (2011). Red in tooth and claw among the Literati. Science, 332, 654–657.CrossRefGoogle Scholar
  30. Surowiecki, J. (2005). The wisdom of crowds. New York: Anchor Books.Google Scholar
  31. Wilson, E. O. (1975). Sociobiology: The new synthesis. Cambridge, MA: The Belknap Press.Google Scholar
  32. Wilson, E. O. (1978/2004). On human nature. Cambridge, MA: Harvard University Press.Google Scholar
  33. Zacharias, G. L., MacMillan, J., & Van Hemel, S. B. (Eds.) (2008) Behavioral modeling and simulation: From individuals to societies. Committee on Organizational Modeling from Individuals to Societies. Washington, DC: The National Academy Press.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Krasnow Institute for Advanced StudyGeorge Mason UniversityFairfaxUSA

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