Simulation and the problem of simplification
pp. 81-91
Résumé
Modern science is often described to rest on the three pillars of experiment, theory, and simulation. This is particularly true for scientific disciplines that focus on complex phenomena, such as climate change, materials and life sciences, as well as economics and political sciences. Those disciplines are characterized by problems that involve significantly more dimensions than the human brain can process (which appears to be four (Halford et al. 2005)) as well as equations that cannot be solved analytically with pen and paper. Furthermore, the variables involved cannot be treated with statistical methods, since the structural organization of the problems is not random (representing what has been referred to as “organized complexity”) Weaver (1948). In such an environment, the employment of computer simulations extends the limits of what we can possibly conceive. In a sense, they might be considered a “cognitive crutch” for our brain, while conducting a sophisticated Gedankenexperiment...
Détails de la publication
Publié dans:
(2013) Philosophy & Technology 26 (1).
Pages: 81-91
DOI: 10.1007/s13347-012-0078-3
Citation complète:
König Gerhard, 2013, Simulation and the problem of simplification [Review of the book , by ]. Philosophy & Technology 26 (1), 81-91.