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- W2288064103 abstract "This chapter looks in detail at a number of case studies from across the natural sciences, with the goal of identifying recurring strategies of model-building. Examples discussed range from target-oriented modeling in population biology (Lotka-Volterra model of predator–prey systems) to phenomenological models in physics (Ginzburg-Landau model of superconductivity)Ginzburg-Landau model of superconductivity Climate models , which are often contrasted with causal-microscopic models (BCS model of superconductivity). Special attention is given to the constructive character of quantum many-body models, such as the BCS model or the Hubbard model of strongly correlated electrons. Against the view, defended by Nancy Cartwright, that many-body models must always be assessed in specific empirical contexts and that individual terms of a quantum Hamiltonian should never be ‘reified’, it is argued that not only is such a ‘separating out’ of individual terms typically unproblematic, but it often contributes to the intelligibility of the target system or phenomenon. The final part of the chapter discusses whether model-building necessarily involves trade-offs between different theoretical desiderata (such as generality and precision), and whether the existence of trade-offs can serve as a demarcation criterion between different scientific disciplines, notably biology and physics." @default.
- W2288064103 created "2016-06-24" @default.
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- W2288064103 date "2015-12-20" @default.
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- W2288064103 title "Strategies and Trade-Offs in Model-Building" @default.
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- W2288064103 doi "https://doi.org/10.1007/978-3-319-27954-1_3" @default.
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