Donaghy, Josephine (Author)
This paper considers how the relationship between mathematical models and theories in biology may change over time, on the basis of a historical analysis of the development of a mathematical model of metabolism, metabolic control analysis, and its relationship to theories of metabolic control. I argue that one can distinguish two ways of characterising the relationship between models and theories, depending on the stage of model and/or theory development that one is considering: partial independence and autonomy. Partial independence describes a model's relationship with existing theory, thus referring to relationships that have already been established between model and theory during model construction. By contrast, autonomy is a feature of relationships which may become established between model and theory in the future, and is expressed by a model's open ended role in constructing emerging theory. These characteristics have often been conflated by existing philosophical accounts, partly because they can only be identified and analysed when adopting a historical perspective on scientific research. Adopting a clear distinction between partial independence and autonomy improves philosophical insight into the changing relationship between models and theories.
...More
Article
Diéguez, Antonio;
(2013)
When do Models Provide Genuine Understanding, and Why Does It Matter?
(/isis/citation/CBB001420762/)
Article
Ludwig, David;
(2013)
Mediating Objects: Scientific and Public Functions of Models in Nineteenth-Century Biology
(/isis/citation/CBB001420744/)
Chapter
Israel, Giorgio;
(2002)
The Two Faces of Mathematical Modeling: Objectivism vs. Subjectivism, Simplicity vs. Complexity
(/isis/citation/CBB000201991/)
Article
Baravalle, Lorenzo;
(2014)
Potencialidades e limites das explicaçães evolutivas da cultura: um enfoque diacrônico
(/isis/citation/CBB001420719/)
Article
Prebble, John N.;
(2010)
The Discovery of Oxidative Phosphorylation: A Conceptual Off-Shoot from the Study of Glycolysis
(/isis/citation/CBB001023965/)
Article
Jan Baedke;
(2019)
O Organism, Where Art Thou? Old and New Challenges for Organism-Centered Biology
(/isis/citation/CBB054222289/)
Article
Blumenthal, Stanley A.;
(2012)
Earl Sutherland (1915--1975) and the Discovery of Cyclic Amp
(/isis/citation/CBB001201291/)
Book
Campos, Luis A.;
(2015)
Radium and the Secret of Life
(/isis/citation/CBB001551960/)
Article
Matthieu Husson;
(2014)
La tabula tabularum de Jean de Murs et les modèles de l’arithmétique médiévale
(/isis/citation/CBB760218453/)
Article
Loettgers, Andrea;
(2007)
Getting Abstract Mathematical Models in Touch with Nature
(/isis/citation/CBB000720236/)
Article
K.-B.G. Scholthof;
(2004)
Tobacco mosaic virus: A model system for plant biology
(/isis/citation/CBB391323763/)
Article
Skyrms, Brian;
(2000)
Stability and Explanatory Significance of Some Simple Evolutionary Models
(/isis/citation/CBB000111072/)
Article
Angela N. H. Creager;
(2022)
Model Organisms Unbound
(/isis/citation/CBB532396920/)
Article
Adrian Currie;
(2020)
Bottled Understanding: The Role of Lab Work in Ecology
(/isis/citation/CBB604254804/)
Article
Gramelsberger, Gabriele;
(2011)
What Do Numerical (Climate) Models Really Represent?
(/isis/citation/CBB001024172/)
Chapter
Porter, Theodore M.;
(2002)
Models, Analogies, and Statistical Reason, 1760-1900
(/isis/citation/CBB000201994/)
Book
Gobert, Janice D.;
Buckley, Barbara C.;
(2000)
Introduction to model-based teaching and learning in science education
(/isis/citation/CBB000110626/)
Thesis
Barwich, Ann-Sophie;
(cited 2013)
Making Sense of Smell: Classifications and Model Thinking in Olfaction Theory
(/isis/citation/CBB001567549/)
Book
Bialynicki-Birula, Iwo;
Bialynicki-Birula, Iwona;
(2004)
Modeling Reality: How Computers Mirror Life
(/isis/citation/CBB000500236/)
Book
de Regt, Henk W.;
Leonelli, Sabina;
Eigner, Kai;
(2009)
Scientific Understanding: Philosophical Perspectives
(/isis/citation/CBB000952759/)
Be the first to comment!