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Fundamentals of Bayesian Epistemology 2 - Arguments, Challenges, Alternatives (Hardcover)
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Fundamentals of Bayesian Epistemology 2 - Arguments, Challenges, Alternatives (Hardcover)
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Bayesian ideas have recently been applied across such diverse
fields as philosophy, statistics, economics, psychology, artificial
intelligence, and legal theory. Fundamentals of Bayesian
Epistemology examines epistemologists' use of Bayesian probability
mathematics to represent degrees of belief. Michael G. Titelbaum
provides an accessible introduction to the key concepts and
principles of the Bayesian formalism, enabling the reader both to
follow epistemological debates and to see broader implications
Volume 1 begins by motivating the use of degrees of belief in
epistemology. It then introduces, explains, and applies the five
core Bayesian normative rules: Kolmogorov's three probability
axioms, the Ratio Formula for conditional degrees of belief, and
Conditionalization for updating attitudes over time. Finally, it
discusses further normative rules (such as the Principal Principle,
or indifference principles) that have been proposed to supplement
or replace the core five. Volume 2 gives arguments for the five
core rules introduced in Volume 1, then considers challenges to
Bayesian epistemology. It begins by detailing Bayesianism's
successful applications to confirmation and decision theory. Then
it describes three types of arguments for Bayesian rules, based on
representation theorems, Dutch Books, and accuracy measures.
Finally, it takes on objections to the Bayesian approach and
alternative formalisms, including the statistical approaches of
frequentism and likelihoodism.
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