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Simulation and Similarity - Using Models to Understand the World (Paperback)
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Simulation and Similarity - Using Models to Understand the World (Paperback)
Series: Oxford Studies in Philosophy of Science
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In the 1950s, John Reber convinced many Californians that the best
way to solve the state's water shortage problem was to dam up the
San Francisco Bay. Against massive political pressure, Reber's
opponents persuaded lawmakers that doing so would lead to disaster.
They did this not by empirical measurement alone, but also through
the construction of a model. Simulation and Similarity explains why
this was a good strategy while simultaneously providing an account
of modeling and idealization in modern scientific practice. Michael
Weisberg focuses on concrete, mathematical, and computational
models in his consideration of the nature of models, the practice
of modeling, and nature of the relationship between models and
real-world phenomena. In addition to a careful analysis of
physical, computational, and mathematical models, Simulation and
Similarity offers a novel account of the model/world relationship.
Breaking with the dominant tradition, which favors the analysis of
this relation through logical notions such as isomorphism, Weisberg
instead presents a similarity-based account called weighted feature
matching. This account is developed with an eye to understanding
how modeling is actually practiced. Consequently, it takes into
account the ways in which scientists' theoretical goals shape both
the applications and the analyses of their models.
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