Tools or Toys? On Specific Challenges for Modeling and the Epistemology of Models in the Social Sciences
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2.2 Where models get their credentials from
If models are mediators between theory and reality in the just described
sense, then the next question would be what gives models their credibility
or how they can be validated. Obviously, if models are partially independent
from theory, we cannot rely on the credibility of the background theory
alone. Instead, models draw their credibility from three different
sources:
- Credible background theory and background knowledge: In so
far as it makes use of background theories, the models' credibility
depends on the credibility of the background theory. And the validity
of the model depends on how faithful it is to the background theories
(where it makes use of them). The same holds for any factual background
knowledge that is incorporated into a model.
- Well approved modeling techniques:
A model furthermore draws credibility from the credibility of modeling
techniques that have been employed in its construction (Winsberg 2006).
These techniques in turn are credible either because they can be analyzed
or tested with regards to their reliability or simply because they
have been successfully employed in the past.[1] In
order to validate this aspect of the model one would have to inquire
into the reliability of the modeling techniques used and also check
whether they have been employed correctly.
- Successful empirical tests: Finally, a model derives credibility
from being in accordance with the target system as assessed by empirical
tests. The direct validation through empirical testing may not always
be possible, though. In fact, one of the most important uses of computer
simulations is as substitutes for experiments in cases where experiments
are costly or impossible.
If these are the sources of credibility for models, then the question
arises if and how they are be related to each other. The following
two conjectures about the mutual relation of these sources seem reasonable:
- Precedence of empirical validation:
If reliable empirical tests of a model are available, then empirical
validation takes precedence over the other validation paths. This means:
If a model does not seem to be valid in terms its theoretical assumptions
or the employed modeling techniques but withstands empirical testing
nonetheless then the model is still acceptable if only as a phenomenological
model. The precedence of empirical testing as a validation criterion
reflects the epistemic primacy of empirical facts in science.
- Synergy of credibility sources:
The less one can rely on a particular one of the three above mentioned
sources of credibility, the more strain is put on the remaining sources.
E.g. if empirical testing of the model is not possible then the more
important it becomes to be able to rely on a well confirmed background
theory or on well-proven and reliable modeling techniques.
It seems reasonable to distinguish the models that derive their credibility
primarily from the reliance on background theories, background knowledge
and modeling techniques from those that are validated by direct empirical
testing. The former could be termed “ input-controlled”
models and the latter “output-controlled” models.
The distinction is of course one of “more or less”. Some
models may be both input and output controlled. This distinction is
meaningful, because with these two ideal types of models are associated
quite different modes of validation. With this terminological convention
no general assumption is made about the relatively greater or smaller
reliability of the one or the other. But it stands to reason that different
levels of credibility or reliability might be associated with input
or output-controlled models in specific contexts.
There is not much more that can be said about the credibility of models
on this very general level. Further below a case study will be discussed
in order to show how these three sources of credibility come into play
in a simulation model. But before, a few things need to be said to
justify why the terms “model” and “computer simulations”
are used more or less interchangeably in this paper.
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