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  1. Scientific Realism, Adaptationism and the Problem of the Criterion.Fabio Sterpetti - 2015 - Kairos 13 (1):7-45.
    Scientific Realism (SR) has three crucial aspects: 1) the centrality of the concept of truth, 2) the idea that success is a reliable indicator of truth, and 3) the idea that the Inference to the Best Explanation is a reliable inference rule. It will be outlined how some realists try to overcome the difficulties which arise in justifying such crucial aspects relying on an adaptationist view of evolutionism, and why such attempts are inadequate. Finally, we will briefly sketch some of (...)
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  • On Mizrahi’s Argument Against Stanford’s Instrumentalism.Fabio Sterpetti - 2019 - Axiomathes 29 (2):103-125.
    Mizrahi’s argument against Stanford’s challenge to scientific realism is analyzed. Mizrahi’s argument is worth of attention for at least two reasons: unlike other criticisms that have been made to Stanford’s view so far, Mizrahi’s argument does not question any specific claim of Stanford’s argument, rather it puts into question the very coherence of Stanford’s position, because it argues that since Stanford’s argument rests on the problem of the unconceived alternatives, Stanford’s argument is self-defeating. Thus, if Mizrahi’s argument is effective in (...)
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  • Models, Brains, and Scientific Realism.Fabio Sterpetti - 2006 - In Lorenzo Magnani & Claudia Casadio (eds.), Model Based Reasoning in Science and Technology. Logical, Epistemological, and Cognitive Issues. Springer. pp. 639-661.
    Prediction Error Minimization theory (PEM) is one of the most promising attempts to model perception in current science of mind, and it has recently been advocated by some prominent philosophers as Andy Clark and Jakob Hohwy. Briefly, PEM maintains that “the brain is an organ that on aver-age and over time continually minimizes the error between the sensory input it predicts on the basis of its model of the world and the actual sensory input” (Hohwy 2014, p. 2). An interesting (...)
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