Quitting Certainties

A Bayesian Framework Modeling Degrees of Belief

Autor: Michael G. Titelbaum

Język:

Oprawa: Miękka

Wydawca: Oxford University Press

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-18 dni

176.15 zł

Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief, call...

Informacje o książce

Autor

Michael G. Titelbaum

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2014

strony

362

EAN

9780199687602

ISBN

0199687609

Enbook ID

04534874

Wydawca

Oxford University Press

Waga

582

Wymiary

157 x 235 x 19

Pełny opis

Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief, called the Certainty-Loss Framework. Subjective Bayesianism is epistemologists' standard theory of how individuals should change their degrees of belief over time. But despite the theory's power, it is widely recognized to fail for situations agents face every day-cases in which agents forget information, or in which they assign degrees of belief to self-locating claims. Quitting Certainties argues that these failures stem from a common source: the inability of Conditionalization (Bayesianism's traditional updating rule) to model claims' going from certainty at an earlier time to less-than-certainty later on. It then presents a new Bayesian updating framework that accurately represents rational requirements on agents who undergo certainty loss. Titelbaum develops this new framework from the ground up, assuming little technical background on the part of his reader. He interprets Bayesian theories as formal models of rational requirements, leading him to discuss both the elements that go into a formal model and the general principles that link formal systems to norms. By reinterpreting Bayesian methodology and altering the theory's updating rules, Titelbaum is able to respond to a host of challenges to Bayesianism both old and new. These responses lead in turn to deeper questions about commitment, consistency, and the nature of information. Quitting Certainties presents the first systematic, comprehensive Bayesian framework unifying the treatment of memory loss and context-sensitivity. It develops this framework, motivates it, compares it to alternatives, then applies it to cases in epistemology, decision theory, the theory of identity, and the philosophy of quantum mechanics.

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również

Najczęściej wyszukiwane

Categories

Authors

Publishers

Produkty

Produkty

Najczęściej wyszukiwane

Categories

Authors

Publishers

Produkty

Produkty

Quitting Certainties

A Bayesian Framework Modeling Degrees of Belief

Informacje o książce

Pełny opis

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również