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Books > Humanities > Philosophy > Western philosophy > Modern Western philosophy, c 1600 to the present > Western philosophy, from c 1900 - > Analytical & linguistic philosophy
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Models and Idealizations in Science - Artifactual and Fictional Approaches (Hardcover, 1st ed. 2021)
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Models and Idealizations in Science - Artifactual and Fictional Approaches (Hardcover, 1st ed. 2021)
Series: Logic, Epistemology, and the Unity of Science, 50
Expected to ship within 12 - 17 working days
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This book provides both an introduction to the philosophy of
scientific modeling and a contribution to the discussion and
clarification of two recent philosophical conceptions of models:
artifactualism and fictionalism. These can be viewed as different
stances concerning the standard representationalist account of
scientific models. By better understanding these two alternative
views, readers will gain a deeper insight into what a model is as
well as how models function in different sciences. Fictionalism has
been a traditional epistemological stance related to antirealist
construals of laws and theories, such as instrumentalism and
inferentialism. By contrast, the more recent fictional view of
models holds that scientific models must be conceived of as the
same kind of entities as literary characters and places. This
approach is essentially an answer to the ontological question
concerning the nature of models, which in principle is not
incompatible with a representationalist account of the function of
models. The artifactual view of models is an approach according to
which scientific models are epistemic artifacts, whose main
function is not to represent the phenomena but rather to provide
epistemic access to them. It can be conceived of as a
non-representationalist and pragmatic account of modeling, which
does not intend to focus on the ontology of models but rather on
the ways they are built and used for different purposes. The
different essays address questions such as the artifactual view of
idealization, the use of information theory to elucidate the
concepts of abstraction and idealization, the deidealization of
models, the nature of scientific fictions, the structural account
of representation and the ontological status of structures, the
role of surrogative reasoning with models, and the use of models
for explaining and predicting physical phenomena.
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