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| Content Provider | Springer Nature Link |
|---|---|
| Author | Grim, Patrick Rosenberger, Robert Rosenfeld, Adam Anderson, Brian Eason, Robb E. |
| Copyright Year | 2011 |
| Abstract | ‘The problem with simulations is that they are doomed to succeed.’ So runs a common criticism of simulations—that they can be used to ‘prove’ anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural analysis of simulation developed in previous work to provide an evaluative account of the variety of ways in which simulations do fail. We expand the structural analysis in terms of the relationship between a simulation and its real-world target emphasizing the important role of aspects intended to correspond and also those specifically intended not to correspond to reality. The result is an outline both of the ways in which simulations can fail and the scientific importance of those various forms of failure. |
| Starting Page | 2367 |
| Ending Page | 2390 |
| Page Count | 24 |
| File Format | |
| ISSN | 00397857 |
| Journal | Synthese |
| Volume Number | 190 |
| Issue Number | 12 |
| e-ISSN | 15730964 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2011-08-12 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Computer simulation Game theory Model Simulation Scientific methodology Philosophy of Science Epistemology Logic Philosophy of Language Metaphysics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Philosophy Social Sciences |
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