Models in science

In Edward N. Zalta (ed.), The Stanford Encyclopedia of Philosophy (2008)
Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, or general equilibrium models of markets in their respective domains are cases in point. Scientists spend a great deal of time building, testing, comparing and revising models, and much journal space is dedicated to introducing, applying and interpreting these valuable tools. In short, models are one of the principal instruments of modern science.
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Rachel A. Ankeny & Sabina Leonelli (2011). What's so Special About Model Organisms? Studies in History and Philosophy of Science Part A 42 (2):313-323.
Giora Hon & Bernard R. Goldstein (2012). Maxwell’s Contrived Analogy: An Early Version of the Methodology of Modeling. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 43 (4):236-257.
Boaz Miller (2014). Catching the WAVE: The Weight-Adjusting Account of Values and Evidence. Studies in History and Philosophy of Science Part A 47:69-80.

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