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Computational modeling for reasoning about the social behavior of humans

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  • Kathleen M. Carley

    (Carnegie Mellon University)

Abstract

The number of computationally-based models of human social behavior is growing rapidly. In fact, the current ease of programming is resulting in a plethora of tools with impressive interfaces but little theoretical power under the hood. Further, the overabundance of new toolkits for building models is facilitating the excessively rapid growth of simple proof-of-concept, or intellective, models. The current state of models range from the simplistic to the elaborate, from the conceptual to the empirical, and from the purely notional to the validatable. This review briefly describes the state of human social behavioral modeling. Key issues surrounding analysis and validation are discussed.

Suggested Citation

  • Kathleen M. Carley, 2009. "Computational modeling for reasoning about the social behavior of humans," Computational and Mathematical Organization Theory, Springer, vol. 15(1), pages 47-59, March.
    • Handle: RePEc:spr:comaot:v:15:y:2009:i:1:d:10.1007_s10588-008-9048-9
    DOI: 10.1007/s10588-008-9048-9
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    References listed on IDEAS

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    1. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
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    Cited by:

    1. Davide Secchi & Nicole L. Gullekson, 2016. "Individual and organizational conditions for the emergence and evolution of bandwagons," Computational and Mathematical Organization Theory, Springer, vol. 22(1), pages 88-133, March.
    2. Sheen S. Levine & Michael J. Prietula, 2012. "How Knowledge Transfer Impacts Performance: A Multilevel Model of Benefits and Liabilities," Organization Science, INFORMS, vol. 23(6), pages 1748-1766, December.
    3. Busby, J.S., 2019. "The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting," European Journal of Operational Research, Elsevier, vol. 276(1), pages 300-313.
    4. Declan Mungovan & Enda Howley & Jim Duggan, 2011. "The influence of random interactions and decision heuristics on norm evolution in social networks," Computational and Mathematical Organization Theory, Springer, vol. 17(2), pages 152-178, May.
    5. Richard M. Burton & Børge Obel, 2011. "Computational Modeling for What-Is, What-Might-Be, and What-Should-Be Studies---And Triangulation," Organization Science, INFORMS, vol. 22(5), pages 1195-1202, October.

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