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International Studies in Phenomenology and Philosophy

Book | Chapter

200931

Understanding social science simulations

distinguishing two categories of simulations

Nicole J. Saam

pp. 67-84

Abstract

How can we understand the results of a simulation study? In this article, I address this epistemic question for social science simulations. I argue that we can distinguish two categories of simulations: simulations STE, which possess key features that resemble the epistemology and methodology of thought experiments, and simulations SE, which resemble the epistemology and methodology of experiments. Based on Woodward's theory of causal explanation, I put forward the hypothesis that STE provide more understanding and a different kind of knowledge than SE because they give well-founded answers to what-if-things-had-been-different questions. Epistemic opacity is a persistent problem for simulations SE, while for STE it need not necessarily be so.

Publication details

Published in:

Resch Michael M., Kaminski Andreas, Gehring Petra (2017) The science and art of simulation I: exploring - understanding - knowing. Dordrecht, Springer.

Pages: 67-84

DOI: 10.1007/978-3-319-55762-5_6

Full citation:

Saam Nicole J. (2017) „Understanding social science simulations: distinguishing two categories of simulations“, In: M. M. Resch, A. Kaminski & P. Gehring (eds.), The science and art of simulation I, Dordrecht, Springer, 67–84.