Maximum Relative Entropy Updating and the Value of Learning

Maximum Relative Entropy Updating and the Value of Learning

We examine the possibility of justifying the principle of maximum relative entropy (MRE) considered as an updating rule by looking at the value of learning theorem established in classical decision theory. This theorem captures an intuitive requirement for learning: learning should lead to new degre...

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Bibliographic Details
Main Author: Patryk Dziurosz-Serafinowicz
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Entropy
Subjects:
maximum relative entropy
probabilistic updating
the value of learning theorem
decision theory
Skyrms’s condition M
the Judy Benjamin problem
context-sensitivity
Online Access:http://www.mdpi.com/1099-4300/17/3/1146

Internet

http://www.mdpi.com/1099-4300/17/3/1146

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