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In Defence of Objective Bayesianism (Hardcover) Loot Price: R2,544
Discovery Miles 25 440
You Save: R338 (12%)
In Defence of Objective Bayesianism (Hardcover): Jon Williamson

In Defence of Objective Bayesianism (Hardcover)

Jon Williamson

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Was R2,882 Loot Price R2,544 Discovery Miles 25 440 | Repayment Terms: R238 pm x 12* You Save R338 (12%)

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How strongly should you believe the various propositions that you can express?
That is the key question facing Bayesian epistemology. Subjective Bayesians hold that it is largely (though not entirely) up to the agent as to which degrees of belief to adopt. Objective Bayesians, on the other hand, maintain that appropriate degrees of belief are largely (though not entirely) determined by the agent's evidence. This book states and defends a version of objective Bayesian epistemology. According to this version, objective Bayesianism is characterized by three norms:
DT Probability - degrees of belief should be probabilities
DT Calibration - they should be calibrated with evidence
DT Equivocation - they should otherwise equivocate between basic outcomes
Objective Bayesianism has been challenged on a number of different fronts. For example, some claim it is poorly motivated, or fails to handle qualitative evidence, or yields counter-intuitive degrees of belief after updating, or suffers from a failure to learn from experience. It has also been accused of being computationally intractable, susceptible to paradox, language dependent, and of not being objective enough.
Especially suitable for graduates or researchers in philosophy of science, foundations of statistics and artificial intelligence, the book argues that these criticisms can be met and that objective Bayesianism is a promising theory with an exciting agenda for further research.

General

Imprint: Oxford UniversityPress
Country of origin: United Kingdom
Release date: May 2010
First published: July 2010
Authors: Jon Williamson
Dimensions: 241 x 161 x 19mm (L x W x T)
Format: Hardcover
Pages: 192
ISBN-13: 978-0-19-922800-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Humanities > Philosophy > Topics in philosophy > Logic
Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Philosophy > Topics in philosophy > Logic
LSN: 0-19-922800-0
Barcode: 9780199228003

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