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  1. Una revisión de la condicionalización bayesiana.Rodrigo Iván Barrera Guajardo - 2021 - Culturas Cientificas 2 (1):24-54.
    La epistemología bayesiana tiene como concepto capital la condicionalización simple. Para comprender de buena forma cómo opera esta regla, se debe dar cuenta de la concepción subjetiva de la probabilidad. Sobre la base de lo anterior es posible esclarecer alcances y límites de la condicionalización simple. En general, cuando esta regla enfrenta una dificultad se hacen esfuerzos por resolver dicha particular cuestión, pero no es usual encontrar propuestas unificadas con la intención de resolver varias de las complicaciones subyacentes al bayesianismo (...)
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  • Why is There Something?Edward MacKinnon - 2023 - Philosophia 51 (2):835-855.
    The tension that many early scientists experienced between a reliance on religious tradition as a source of truth and scientific methodology as a guide to truth eventually led to a clash between theists who claimed that the existence of the universe required a creator and non-theists, who insisted that recourse to a creator to explain why there is something perverts scientific methodology. The present paper defends the position that physics and its foreseeable cosmological extensions neither requires nor excludes either opposed (...)
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  • (1 other version)Framework confirmation by Newtonian abduction.Erik Curiel - 2019 - Synthese:1-39.
    The analysis of theory-confirmation generally takes the deductive form: show that a theory in conjunction with physical data and auxiliary hypotheses yield a prediction about phenomena; verify the prediction; provide a quantitative measure of the degree of theory-confirmation this yields. The issue of confirmation for an entire framework either does not arise, or is dismissed in so far as frameworks are thought not to be the kind of thing that admits scientific confirmation. I argue that there is another form of (...)
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  • Casting inference to the best explanation's lot with active inference.Majid D. Beni - 2023 - Theoria 89 (2):188-203.
    This paper draws on the resources of computational neuroscience (an account of active inference under the free energy principle) to address Bas van Fraassen's bad lot objection to the inference to the best explanation (IBE). The general assumption of this paper is that IBE is a finessed form of active inferences that self-organising systems perform to maximise the chance of their survival. Under this assumption, the paper aims to establish the following points: first, the capacity to learn to perform explanatory (...)
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