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Model-Based Reasoning in Distributed Cognitive Systems

Published online by Cambridge University Press:  01 January 2022

Nancy J. Nersessian
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Abstract

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.

Information

Type
Cognitive Studies of Science: Vision, Models, and Agency in Scientific Cognition
Information
Philosophy of Science , Volume 73 , Issue 5: Proceedings of the 2004 Biennial Meeting of The Philosophy of Science Association. Part II: Symposia Papers. Edited by Miriam Solomon , December 2006 , pp. 699 - 709
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

‡

This research has been conducted with Wendy Newstetter (co–principal investigator), research scientists, and graduate and undergraduate students. We thank our research subjects for allowing us into their work environment and granting us numerous interviews. We gratefully acknowledge the support of the National Science Foundation ROLE Grants REC0106773 and REC0450578.

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