Abstract
It is often claimed that artificial society simulations contribute to the explanation of social phenomena. At the hand of a particular example, this paper argues that artificial societies often cannot provide full explanations, because their models are not or cannot be validated. Despite that, many feel that such simulations somehow contribute to our understanding. This paper tries to clarify this intuition by investigating whether artificial societies provide potential explanations. It is shown that these potential explanations, if they contribute to our understanding, considerably differ from potential causal explanations. Instead of possible causal histories, simulations offer possible functional analyses of the explanandum. The paper discusses how these two kinds explanatory strategies differ, and how potential functional explanations can be appraised.
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References
Axelrod R. (1997) Advancing the art of simulation in the social sciences. In: Conte R., Hegselmann R., Terna P.(eds) Simulating social phenomena.. Springer, Berlin, pp 21–40
Axtell R.L., Epstein J.M., Dean J.S., Gumerman G.J., Swedlund A.C., Harburger J., Chakravarty S., Hammond R., Parker J., Parker M. (2002) Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Sciences 99(3): 7275–7279
Bicchieri C. (2006) The grammar of society: The nature and dynamics of social norms. Cambridge University Press, New York
Brock W.A., Durlauf S.N. (2001) Discrete choice with social interactions. The Review of Economic Studies 68(2): 235–260
Cartwright N. (2002) Against modularity, the Causal Markov Condition and any link between the two: Comments on Hausman and Woodward. British Journal for the Philosophy of Science 53(3): 411–453
Cederman L.-E. (2005) Computational models of social forms: Advancing generative process theory. American Journal of Sociology 110(4): 864–893
Cummins R. (1975) Functional analysis. Journal of Philosophy 72((20): 741–765
Dean J.S., Gumerman G.J., Epstein J.M., Axtell R.L., Swedland A.C., Parker M.T., McCarrol S. (1999) Understanding Anasazi culture change through agent-based modeling. In: Kohler T.A., Gumerman G.J.(eds) Dynamics in human and primate societies: Agent based modeling of social and spatial processes.. Oxford University Press, New York and Oxford, pp 179–205
Epstein J.M. (1999) Agent-based computational models and generative social science. Complexity 4(5): 41–57
Epstein J.M., Axtell R.L. (1996) Growing artificial societies: Social science from the bottom up. MIT, Cambridge, MA
Guala F., Mittone L. (2005) Experiments in economics: Testing theories vs. the robustness of phenomena. Journal of Economic Methodology 12: 495–515
Hartmann S. et al (1996) The world as a process: Simulations in the natural and social sciences. In: Hegselmann R.(eds) Modelling and simulation in the social sciences from the philosophy of science point of view.. Kluwer, Dordrecht, pp 77–100
Hempel C.G. (1965) Aspects of scientific explanation. Free, New York
Henrich J., Robert B., Bowles S., Camerer C., Fehr E., Gintis H. (2004) Foundations of human sociality: Economic experiments and ethnographic evidence from fifteen small-scale societies. Oxford University Press, New York and Oxford
Humphreys P. (2004) Extending ourselves: Computational science, empiricism, and scientific method. Oxford University Press, Oxford
Kincaid H. (1996) Philosophical foundations of the social sciences. Cambridge University Press, New York
Küppers, G., & Lenhard, J. (2005). Validation of simulation: Patterns in the social and natural sciences. Journal of Artificial Societies and Social Simulation, 8 (4). Retrieved February 22, 2006, from http://jasss.soc.surrey.ac.uk/8/4/3.htm.
Lewis D. (1986) Causal explanations. In: Lewis D.(eds) Philosophical Papers II. Oxford University Press, Oxford, pp 214–240
Lipton P. (2001) Inference to the best explanation. Routledge, London and New York
Little D. (1991) Varieties of social explanation. Westview, Boulder, CO
Machamer P., Darden L., Craver C.F. (2000) Thinking about mechanisms. Philosophy of Science 67(1): 1–25
Salmon W. (1984) Scientific explanation and the causal structure of the world. Princeton University Press, Princeton
Salmon W. (1998) Causality and explanation. Oxford University Press, New York and Oxford
Sawyer R.K. (2004) Social explanation and computational simulation. Philosophical Explanations 7(3): 219–231
Tesfatsion L. (2007). Agent-based omputational economics: A constructive approach to economic heory. In: Tesfatsion L., Judd K. (eds). Handbook of computational economics (Vol. 2, pp. 1–50). North Holland: Elsevier.
Woodward J. (2003) Making things happen. Oxford University Press, New York and Oxford
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Grüne-Yanoff, T. The explanatory potential of artificial societies. Synthese 169, 539–555 (2009). https://doi.org/10.1007/s11229-008-9429-0
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DOI: https://doi.org/10.1007/s11229-008-9429-0