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How do engineering scientists think? Model-based simulation in biomedical engineering research laboratories.

Nancy J Nersessian1

  • 1School of Interactive Computing, Georgia Institute of Technology.

Topics in Cognitive Science
|August 29, 2014
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Summary
This summary is machine-generated.

This study views engineering problem-solving through physical simulation models as a collaborative effort between researchers and artifacts. It introduces "distributed model-based cognition" to explain knowledge creation in biomedical engineering.

Keywords:
Distributed cognitionEthnographyMental modelingModel-based reasoningProblem solvingResearch laboratories

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Area of Science:

  • Engineering Sciences
  • Cognitive Science

Background:

  • Physical simulation models are crucial for problem-solving in engineering.
  • Model-based simulation is an epistemic activity involving hypothesis testing and inference.

Purpose of the Study:

  • To interpret how simulation models contribute to knowledge and technology creation.
  • To propose a new framework for understanding problem-solving in engineering research.

Main Methods:

  • Utilizing the framework of distributed cognition.
  • Analyzing data from ethnographic and cognitive-historical studies.
  • Focusing on two biomedical engineering research laboratories.

Main Results:

  • Problem-solving is accomplished by a researcher-artifact system.
  • Introduces the concept of distributed model-based cognition.
  • Explains knowledge creation through the interaction of researchers and simulation models.

Conclusions:

  • Understanding engineering problem-solving requires considering the researcher-artifact system.
  • Distributed model-based cognition offers a novel perspective on scientific knowledge production.
  • This framework enhances the interpretation of model-based simulation in research.