Computing the uncomputable; or, the discrete charm of second-order simulacra
Synthese 169 (3):447 - 463 (2009)
| Abstract | We examine a case in which non-computable behavior in a model is revealed by computer simulation. This is possible due to differing notions of computability for sets in a continuous space. The argument originally given for the validity of the simulation involves a simpler simulation of the simulation , still further simulations thereof, and a universality conjecture. There are difficulties with that argument, but there are other, heuristic arguments supporting the qualitative results. It is urged, using this example, that absolute validation, while highly desirable, is overvalued. Simulations also provide valuable insights that we cannot yet (if ever) prove. | |||||||||
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Wendy S. Parker (2008). Computer Simulation Through an Error-Statistical Lens. Synthese 163 (3):371 - 384.
Johannes Lenhard (2007). Computer Simulation: The Cooperation Between Experimenting and Modeling. Philosophy of Science 74 (2):176-194.
By Nick Bostrom (2003). Are We Living in a Computer Simulation? Philosophical Quarterly 53 (211):243–255.
Stephan Hartmann (1996). The World as a Process: Simulations in the Natural and Social Sciences. In Rainer Hegselmann (ed.), Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View.
Ulrich Krohs (2008). How Digital Computer Simulations Explain Real-World Processes. International Studies in the Philosophy of Science 22 (3):277 – 292.
Jordi Fernández (2003). Explanation by Computer Simulation in Cognitive Science. Minds And Machines 13 (2):269-284.
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