Literature DB >> 19260200

Modeling mechanisms.

Stuart Glennan1.   

Abstract

Philosophers of science increasingly believe that much of science is concerned with understanding the mechanisms responsible for the production of natural phenomena. An adequate understanding of scientific research requires an account of how scientists develop and test models of mechanisms. This paper offers a general account of the nature of mechanical models, discussing the representational relationship that holds between mechanisms and their models as well as the techniques that can be used to test and refine such models. The analysis is supported by study of two competing models of a mechanism of speech perception.

Mesh:

Year:  2005        PMID: 19260200     DOI: 10.1016/j.shpsc.2005.03.011

Source DB:  PubMed          Journal:  Stud Hist Philos Biol Biomed Sci        ISSN: 1369-8486


  7 in total

1.  Medicalization and epistemic injustice.

Authors:  Alistair Wardrope
Journal:  Med Health Care Philos       Date:  2015-08

2.  Mechanistic modelling of cancer: some reflections from software engineering and philosophy of science.

Authors:  José M Cañete-Valdeón; Roel Wieringa; Kieran Smallbone
Journal:  Naturwissenschaften       Date:  2012-11-13

3.  Exploring Students' Descriptions of Mutation from a Cognitive Perspective Suggests How to Modify Instructional Approaches.

Authors:  FangFang Zhao; Anita Schuchardt
Journal:  CBE Life Sci Educ       Date:  2019-09       Impact factor: 3.325

4.  Human choice to self-isolate in the face of the COVID-19 pandemic: A game dynamic modelling approach.

Authors:  Calistus N Ngonghala; Palak Goel; Daniel Kutor; Samit Bhattacharyya
Journal:  J Theor Biol       Date:  2021-03-23       Impact factor: 2.405

5.  The effects of local homogeneity assumptions in metapopulation models of infectious disease.

Authors:  Cameron Zachreson; Sheryl Chang; Nathan Harding; Mikhail Prokopenko
Journal:  R Soc Open Sci       Date:  2022-07-13       Impact factor: 3.653

6.  Computational design logics for bio-based design.

Authors:  Mette Ramsgaard Thomsen
Journal:  Archit Intell       Date:  2022-09-26

7.  Agent-based modelling for SARS-CoV-2 epidemic prediction and intervention assessment: A methodological appraisal.

Authors:  Mariusz Maziarz; Martin Zach
Journal:  J Eval Clin Pract       Date:  2020-08-21       Impact factor: 2.336

  7 in total

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