A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning
Philosophers frequently define knowledge as justified, true belief. We built a mathematical framework that makes it possible to define learning (increasing number of true beliefs) and knowledge of an agent in precise ways, by phrasing belief in terms of epistemic probabilities, defined from Bayes’ r...
Main Authors: | Ola Hössjer, Daniel Andrés Díaz-Pachón, J. Sunil Rao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/10/1469 |
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