Abstract
Social simulation research lacks a common framework within which to integrate empirical and abstract models. This lack reflects an epistemological divide within the field. In an attempt to span that divide and in hope that it will lead to subsequent work on integrating abstract and empirical agent based social modelling research, I suggest here that a possibly suitable framework would derive from the mathematical notion of a function as a mapping between a well specified domain and a well specified range. The use of the function as an informal framework for the discussion of epistemological issues such as prediction, validation and verification is demonstrated as well as its use for structuring controversy about modelling techniques and applications. An example is drawn from the literature on opinion dynamics to explore the latter use.
Jim Doran offered helpful comments, for which I am immensely grateful, on a previous draft. He bears no responsibility for the resulting amendments to that draft. The point of departure for my thinking about this paper is a previous paper I wrote with my (then) young colleague, Bruce Edmonds, building on his notion of the “volume” of a model [Edmonds and Moss, 1998]. All failures of understanding or sound analysis in the present paper were introduced by me alone.
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Moss, S. (2009). Talking about ABSS: Functional Descriptions of Models. In: Squazzoni, F. (eds) Epistemological Aspects of Computer Simulation in the Social Sciences. EPOS 2006. Lecture Notes in Computer Science(), vol 5466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01109-2_4
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DOI: https://doi.org/10.1007/978-3-642-01109-2_4
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