In Edward N. Zalta (ed.), The Stanford Encyclopedia of Philosophy (2008)
|Abstract||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.|
|Keywords||No keywords specified (fix it)|
|Through your library||Configure|
Similar books and articles
Matthias Scheutz (2001). Is There More to “Model” Than “Muddle”? Behavioral and Brain Sciences 24 (6):1076-1077.
Jeffrey Koperski, Models. Internet Encyclopedia of Philosophy.
Alisa Bokulich (forthcoming). How Scientific Models Can Explain. Synthese:1--13.
Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.
Roman Frigg & Stephan Hartmann (2005). Scientific Models. In Sahotra Sarkar et al (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.
Added to index2009-01-28
Total downloads43 ( #26,127 of 549,006 )
Recent downloads (6 months)8 ( #8,811 of 549,006 )
How can I increase my downloads?