Explanatory independence and epistemic interdependence: A case study of the optimality approach
British Journal for the Philosophy of Science 61 (1):213-233 (2010)
| Abstract | The value of optimality modeling has long been a source of contention amongst population biologists. Here I present a view of the optimality approach as at once playing a crucial explanatory role and yet also depending on external sources of confirmation. Optimality models are not alone in facing this tension between their explanatory value and their dependence on other approaches; I suspect that the scenario is quite common in science. This investigation of the optimality approach thus serves as a case study, on the basis of which I suggest that there is a widely felt tension in science between explanatory independence and broad epistemic inter dependence, and that this tension influences scientific methodology | |||||||||
| Keywords | Methodology | |||||||||
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Christoph Lumer (2005). Intentions Are Optimality Beliefs – but Optimizing What? Erkenntnis 62 (2):235 - 262.
Enrica Carbone & John D. Hey (2001). A Test of the Principle of Optimality. Theory and Decision 50 (3):263-281.
David R. Shanks & David Lagnado (2000). Sub-Optimal Reasons for Rejecting Optimality. Behavioral and Brain Sciences 23 (5):761-762.
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Angela Potochnik (2009). Optimality Modeling in a Suboptimal World. Biology and Philosophy 24 (2):183-197.
Angela Potochnik (2007). Optimality Modeling and Explanatory Generality. Philosophy of Science 74 (5):680-691.
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