How Do Engineering Scientists Think? Model-Based Simulation in Biomedical Engineering Research Laboratories
Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues tha...
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Published in | Topics in cognitive science Vol. 1; no. 4; pp. 730 - 757 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.10.2009
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Subjects | |
Online Access | Get full text |
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Summary: | Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher–artifact system. It draws on and further develops the framework of “distributed cognition” to interpret data collected in ethnographic and cognitive‐historical studies of two biomedical engineering research laboratories, and articulates the notion of distributed model‐based cognition to answer the question posed in the title. |
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Bibliography: | ArticleID:TOPS1032 ark:/67375/WNG-RFL6NX7C-V istex:14D52EE114C05ADAF439FF66E210F60DD12421FE ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1756-8757 1756-8765 |
DOI: | 10.1111/j.1756-8765.2009.01032.x |