David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
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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Citations of this work BETA
Hyundeuk Cheon (2014). Distributed Cognition in Scientific Contexts. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 45 (1):23-33.
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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Rebecca Kukla (1992). Cognitive Models and Representation. British Journal for the Philosophy of Science 43 (2):219-32.
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