Simulation and Similarity: Using Models to Understand the World (Oxford Studies in the Philosophy of Science)

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9780199933662: Simulation and Similarity: Using Models to Understand the World (Oxford Studies in the Philosophy of Science)

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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About the Author:


Michael Weisberg is Department Chair and Professor of Philosophy at the University of Pennsylvania.

Review:


"In my own view, Simulation and Similarity satisfactorily serves such a general purpose, though at a rather formal and abstract level that takes the form of a compilation of advances in meta-theoretical research... For the general reader with a background in the philosophy of science (and I would include here science educators), I see two strong values in the book: (1) it provides a schematic state-of-the-art of semantic stances on what models are and how they can be classified, which is clear and solid, and (2) it contains a careful treatment of (past and present) examples of models and modelling that clarifies theoretical constructs and provides ideas on how to perform good-quality case studies on real instances of scientific modelling, which would be illuminated by those constructs." --Science and Education


"[This book] is lively, well-written, and should be accessible to novice audiences as well as informative and provocative to disciplinary insiders. It skillfully makes use of a relatively small set of carefully explained and not-overly-complicated examples to give an account that succeeds in being sophisticated and attentive to the details of scientific practice without getting overly mired in the details of 'case studies' that sometimes plague the literature on scientific modeling."--Eric Winsberg, Notre Dame Philosophical Reviews


"[Simulation and Similarity] is well written and detailed in its exposition, providing concrete examples to ground the discussion. It is a very interesting complement to standard mathematical modeling treatments for scientists, engineers, and mathematicians."--CHOICE


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Weisberg, Michael
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Descripción 2013. Hardcover. Estado de conservación: New. Hardcover. 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, .Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 190 pages. 0.454. Nº de ref. de la librería 9780199933662

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Descripción Oxford University Press Inc, United States, 2013. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. de la librería BTE9780199933662

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Descripción Estado de conservación: New. Oxford University Press, 2013. 224p. Hardback. Series: Oxford Studies in Philosophy of Science. Michael Weisberg has given us a lovely book on models. It has very broad coverage of issues intersecting the nature of models and their use, an extensive consideration of long ignored concrete models with a rich case study, a discussion and classification of the many diverse kinds of models, and a particularly groundbreaking and innovative discussion of similarity concerning how models relate to the world . his analysis is both clear and rich. William C. Wimsatt, Biology and Philosophy 03/06/14 (Publisher's information). Condition: New Print on Demand. Printed on Demand. Nº de ref. de la librería 36439

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