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Simon M.
The Probabilistic Foundations of Rational Learning
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2496199The Probabilistic Foundations of Rational Learninghttps://www.gandhi.com.mx/the-probabilistic-foundations-of-rational-learning-9781108506175/phttps://gandhi.vtexassets.com/arquivos/ids/2967352/7e786d98-3a1c-49df-b577-308e7bcec35e.jpg?v=638384698153830000714871MXNCambridge University PressInStock/Ebooks/<p>According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into ones old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learners informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffreys radical probabilism. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences.</p>...2432061The Probabilistic Foundations of Rational Learning714871https://www.gandhi.com.mx/the-probabilistic-foundations-of-rational-learning-9781108506175/phttps://gandhi.vtexassets.com/arquivos/ids/2967352/7e786d98-3a1c-49df-b577-308e7bcec35e.jpg?v=638384698153830000InStockMXN99999DIEbook20179781108506175_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9781108506175_<p>According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into ones old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learners informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffreys radical probabilism. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences.</p>(*_*)9781108506175_<p>According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into ones old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learners informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffreys radical probabilism. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences.</p>...9781108506175_Cambridge University Presslibro_electonico_c4978fd4-aaeb-3f4f-ac89-b259b53eb781_9781108506175;9781108506175_9781108506175Simon M.InglésMéxicohttps://getbook.kobo.com/koboid-prod-public/cambridgeupress-epub-eedf7006-ecab-4391-9b44-a7166cc7595f.epub2017-10-19T00:00:00+00:00Cambridge University Press