How to Do Science with Models

A Philosophical Primer

AvAxel Gelfert

Häftad, Engelska, 2016

Del i serien SpringerBriefs in Philosophy

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Beskrivning

The diversity of kinds of models one finds in science – ranging from toy models and scale models to theoretical and mathematical models – has attracted attention not only from scientists, but also from philosophers, sociologists, and historians of science.

Produktinformation

Utgivningsdatum:2016-02-08
Mått:155 x 235 x 15 mm
Vikt:244 g
Format:Häftad
Språk:Engelska
Serie:SpringerBriefs in Philosophy
Antal sidor:135
Upplaga:16001
Förlag:Springer International Publishing AG
ISBN:9783319279527

Utforska kategorier

Teknik: allmänt inom Naturvetenskap och teknik
Filosofi inom Filosofi och religion

Mer om författaren

Axel Gelfert is Associate Professor in the Department of Philosophy at the National University of Singapore. He holds a PhD in History and Philosophy of Science from the University of Cambridge. His research revolves around issues in the philosophy of science and technology, social epistemology, and the history of philosophy. He is the author of A Critical Introduction to Testimony (London 2014).

Recensioner i media

"This is a truly excellent book. Not only does it provide insightful analysis of contemporary philosophical accounts of modelling, but it draws our attention to important yet unexplored questions related to the exploratory function of models and their connection to issues in the philosophy of technology. By focusing our attention on a broad range of examples it provides the best systematic treatment of scientific modelling to appear in many years. Highly recommended!" Margaret Morrison, University of Toronto

Innehållsförteckning

Chapter 1: What are Scientific Models? Chapter 2: Scientific Representation and the Uses of Scientific Models.- Chapter 3: Strategies of Model-Building: Examples from Scientific Practice.- Chapter 4: The Question of Trade-Offs.- Chapter 5: Scientific Models as Contributors to Inquiry.- Chapter 6: The Embodied Dimension of Models.- Chapter 7: Conclusion.