Models, measurement and computer simulation: The changing face of experimentation
Philosophical Studies 143 (1):33 - 57 (2009)
| Abstract | The paper presents an argument for treating certain types of computer simulation as having the same epistemic status as experimental measurement. While this may seem a rather counterintuitive view it becomes less so when one looks carefully at the role that models play in experimental activity, particularly measurement. I begin by discussing how models function as “measuring instruments” and go on to examine the ways in which simulation can be said to constitute an experimental activity. By focussing on the connections between models and their various functions, simulation and experiment one can begin to see similarities in the practices associated with each type of activity. Establishing the connections between simulation and particular types of modelling strategies and highlighting the ways in which those strategies are essential features of experimentation allows us to clarify the contexts in which we can legitimately call computer simulation a form of experimental measurement. | |||||||||
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Fritz Rohrlich (1990). Computer Simulation in the Physical Sciences. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:507 - 518.
Steven L. Peck (2008). The Hermeneutics of Ecological Simulation. Biology and Philosophy 23 (3):383-402.
Wendy S. Parker (2008). Computer Simulation Through an Error-Statistical Lens. Synthese 163 (3):371 - 384.
Peter Krebs (2007). Virtual Models and Simulations. Techné 11 (1):42-54.
Wendy S. Parker (2009). Does Matter Really Matter? Computer Simulations, Experiments, and Materiality. Synthese 169 (3):483 - 496.
Axel Gelfert (2011). Scientific Models, Simulation, and the Experimenter's Regress. In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge.
Ronald N. Giere (2009). Is Computer Simulation Changing the Face of Experimentation? Philosophical Studies 143 (1):59 - 62.
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