David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
A role of models in scientific explanation and insufficiency of unification view of explanation are discussed. Model is constructed by abstracting some important elements from the real world. There are too many complicated interactions in the real world to calculate, but model makes calculations possible. However, that is only part of importance of model in scientific activity. At the first sight, we think that it is better for scientists to use models including more elements (it means the model is closer to the real world), than to use models with less elements. Nevertheless, even when scientists can calculate by using more complex models, they usually use more simple models. This fact gives us the key to clarify an important role of models in scientific explanation. In this presentation, I would like to show that using simple models as possible makes it possible to explain phenomena thus only achieving unification is insufficient for explanation.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.
Daniela M. Bailer-Jones (2002). Scientists' Thoughts on Scientific Models. Perspectives on Science 10 (3):275-301.
Peter Krebs (2007). Virtual Models and Simulations. Techne 11 (1):42-54.
Alisa Bokulich (2011). How Scientific Models Can Explain. Synthese 180 (1):33 - 45.
Ronald N. Giere (1999). Using Models to Represent Reality. In. In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. 41--57.
Carl F. Craver (2006). When Mechanistic Models Explain. Synthese 153 (3):355-376.
Steven Rappaport (1995). Economic Models and Historical Explanation. Philosophy of the Social Sciences 25 (4):421-441.
Ulrich Krohs (2008). How Digital Computer Simulations Explain Real-World Processes. International Studies in the Philosophy of Science 22 (3):277 – 292.
Added to index2009-09-20
Total downloads33 ( #52,392 of 1,101,073 )
Recent downloads (6 months)2 ( #177,300 of 1,101,073 )
How can I increase my downloads?