David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Philosophy of Science 73 (5):699-709 (2006)
This paper examines the nature of model-based reasoning in the interplay between theory and experiment in the context of biomedical engineering research laboratories, where problem solving involves using physical models. These "model systems" are sites of experimentation where in vitro models are used to screen, control, and simulate specific aspects of in vivo phenomena. As with all models, simulation devices are idealized representations, but they are also systems themselves, possessing engineering constraints. Drawing on research in contemporary cognitive science that construes cognition as occurring in a complex distributed system comprising people and artifacts, I argue that reasoning with model systems is a constraint satisfaction process involving co-construction, manipulation, and revision of mental and physical models.
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References found in this work BETA
Lawrence W. Barsalou (1999). Perceptual Symbol Systems. Behavioral and Brain Sciences 22 (4):577-660.
Nancy Cartwright (1983). How the Laws of Physics Lie. Oxford University Press.
Andy Clark (2003). Natural-Born Cyborgs: Minds, Technologies and the Future of Human Intelligence. Oxford University Press.
Mary B. Hesse (1966). Models and Analogies in Science. University of Notre Dame Press.
L. Magnani, N. J. Nersessian & P. Thagard (eds.) (1999). Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum.
Citations of this work BETA
Mohd Hazim Shah bin Abdul Murad (2011). Models, Scientific Realism, the Intelligibility of Nature, and Their Cultural Significance. Studies in History and Philosophy of Science Part A 42 (2):253-261.
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