David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Part of the scientific enterprise is to measure the material world and to explain its dynamics by means of models. However, not only is measurability of the world limited, analyzability of models is so, too. Most often, computer simulations offer a way out of this epistemic bottleneck. They instantiate the model and may help to analyze it. In relation to the material world a simulation may be regarded as a kind of a “non-material scale model”. Like any other scale model, it does not per se give any scientific explanation but is first in itself an object of scientific enquiry, a world. Since this world is numerical, it is a priori measurable. Its role in scientific explanation will be discussed.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Only published papers are available at libraries|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Theodore Sider (2002). The Ersatz Pluriverse. Journal of Philosophy 99 (6):279-315.
Robert Sugden (2011). Explanations in Search of Observations. Biology and Philosophy 26 (5):717-736.
Michel Ghins (2003). Thomas Kuhn on the Existence of the World. International Studies in the Philosophy of Science 17 (3):265 – 279.
Wim Christiaens (2006). Basic Ontology and the Ontology of the Phenomenological Life World: A Proposal. [REVIEW] Foundations of Science 11 (3):249-274.
Robert Sugden (2000). Credible Worlds: The Status of Theoretical Models in Economics. Journal of Economic Methodology 7 (1):1-31.
Ulrich Krohs (2008). How Digital Computer Simulations Explain Real-World Processes. International Studies in the Philosophy of Science 22 (3):277 – 292.
Added to index2009-01-28
Total downloads14 ( #95,272 of 1,088,810 )
Recent downloads (6 months)1 ( #69,735 of 1,088,810 )
How can I increase my downloads?