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  • 1
    Online-Ressource
    Online-Ressource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948233437502882
    Umfang: 1 online resource (xiii, 224 pages) : , digital, PDF file(s).
    ISBN: 9781316335789 (ebook)
    Inhalt: According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's 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 Jeffrey's '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.
    Anmerkung: Title from publisher's bibliographic system (viewed on 24 Oct 2017). , Machine generated contents note: 1. Consistency and symmetry; 2. Bounded rationality; 3. Pattern learning; 4. Large worlds; 5. Radical probabilism; 6. Reflection; 7. Disagreement; 8. Consensus; Appendices.
    Weitere Ausg.: Print version: ISBN 9781107115323
    Sprache: Englisch
    URL: Volltext  (lizenzpflichtig)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Buch
    Buch
    Cambridge, United Kingdom : Cambridge University Press
    UID:
    gbv_1632592266
    Umfang: xiii, 224 Seiten , Illustrationen
    ISBN: 9781107115323
    Inhalt: Machine generated contents note: 1. Consistency and symmetry; 2. Bounded rationality; 3. Pattern learning; 4. Large worlds; 5. Radical probabilism; 6. Reflection; 7. Disagreement; 8. Consensus; Appendices
    Inhalt: "According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's 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 Jeffrey's '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"--
    Inhalt: "Learning is something we are all very familiar with. As children we learn to recognize faces, to walk, to speak, to climb trees and ride bikes, and so many other things that it would be a hopeless task to continue the list. Later we learn how to read and write; we learn arithmetic, calculus, and foreign languages; we learn how to cook spaghetti, how to drive a car, or what's the best response to telemarketing calls. Even as adults, when many of our beliefs have become entrenched and our behaviors often is habitual, there are new alternatives to explore if we wish to do so; and sometimes we even may revise long held beliefs or change our conduct based on something we have learned"--
    Anmerkung: Literaturverzeichnis: Seite 206-219
    Sprache: Englisch
    Schlagwort(e): Lernen ; Rationalität ; Probabilismus
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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