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Related Experiment Video

Updated: Jan 4, 2026

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

Knowledge transfer across scientific disciplines.

Paul Humphreys¹

¹Corcoran Department of Philosophy, University of Virginia, Charlottesville VA 22904-4780, USA.

Studies in History and Philosophy of Science

|November 9, 2019

Summary

This summary is machine-generated.

This study introduces explicit template application for scientific models, moving beyond Kuhn's ideas of analogical reasoning. This approach facilitates cross-disciplinary model transfer, enhancing scientific understanding and unification.

Keywords:

Exemplars Explicit representation Knowledge transfer Tacit knowledge Theoretical templates Thomas kuhn

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Area of Science:

Philosophy of Science
Scientific Modeling
Interdisciplinary Studies

Background:

Thomas Kuhn proposed symbolic generalizations are applied via exemplars and analogical reasoning.
Existing approaches rely on similarity and tacit knowledge, limiting explicit model application.

Purpose of the Study:

To argue that applying theoretical and formal templates can be made explicit.
To demonstrate how formal models can be transferred across scientific fields.
To highlight advantages of an explicit approach over Kuhn's psychological orientation.

Main Methods:

Utilizing theoretical and formal templates for explicit model application.
Analyzing the transferability of formal models across disciplines.
Comparing explicit template application with analogical reasoning.

Main Results:

Formal models can be explicitly applied and transferred between scientific fields.
Examples include scale-free networks, Lotka-Volterra, and Goodwin models.
An explicit approach offers advantages over psychologically oriented methods.

Conclusions:

Explicit template application provides a rigorous method for scientific model transfer.
This approach offers a clearer understanding of model unification.
It challenges traditional views on the application of scientific knowledge.