Synopsis
This book introduces students and researchers to the philosophical issues at play in the growing field of formal (or Bayesian) epistemology. It focuses not on how to do particular calculations but instead on the philosophical foundations at the convergence of belief and mathematical representation. Its central questions are: What is the nature of quantifying belief? What is the source of its norms? How is it reasonable to represent belief numerically? Accessible to those without any mathematical background, this book will become a much used classic in the field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Kenny Easwaran is Professor of Logic and Philosophy of Science at the University of California, Irvine. He works on many issues in formal epistemology, decision theory, and the philosophy of mathematics, as well as having interests in how these topics relate to collective agency, artificial intelligence, games and puzzles, and urban planning.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Philosophical Foundations of Bayesianism : An Opinionated Introduction
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The Philosophical Foundations of Bayesianism (Paperback)
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Paperback. Etat : new. Paperback. Bayesianism is the view that rational degrees of belief should follow probability theory. In this book, philosopher Kenny Easwaran defends Bayesianism as an effective normative framework when applied to all "doxastic subjects": humans, animals, artificial intelligences, groups, and even hypothetical aliens or angels.The book addresses major challenges: concerns about numerical precision and computational tractability, problems with infinitesimals and regularity, difficulties with act-state dependence, and debates over evidence. Easwaran employs measurement theory to show probabilistic representation is analogous to representing temperature different scales (Fahrenheit/Celsius, probability/odds) can represent the same underlying non-numerical reality.Later chapters examine how beliefs should update through conditionalization, while distinguishing different sources of rational norms. Easwaran defends a notably permissive view: any probability function is internally rational, as reason alone cannot dictate privileged priors. However, "ecological rationality" explains why certain belief systems perform better in specific environments, acknowledging both Bayesianism's abstract permissiveness and practical constraints making certain credal states more successful. 1) Belief comes in degrees2) Belief guides action3) Belief aims at the truth4) The measurement of belief5) Zero isnt nothing6) Rational changes of belief7) The components of rationality8) Multiple rationalitiesConclusion This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781138647718
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Philosophical Foundations of Bayesianism : An Opinionated Introduction
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The Philosophical Foundations of Bayesianism
Edité par
Taylor and Francis Ltd, GB, 2026
ISBN 10 : 1138647713
ISBN 13 : 9781138647718
Neuf
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The Philosophical Foundations of Bayesianism: An Opinionated Introduction
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The Philosophical Foundations of Bayesianism
Edité par
Taylor and Francis Ltd, GB, 2026
ISBN 10 : 1138647713
ISBN 13 : 9781138647718
Neuf
Paperback
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Paperback. Etat : New. Bayesianism is the view that rational degrees of belief should follow probability theory. In this book, philosopher Kenny Easwaran defends Bayesianism as an effective normative framework when applied to all "doxastic subjects": humans, animals, artificial intelligences, groups, and even hypothetical aliens or angels.The book addresses major challenges: concerns about numerical precision and computational tractability, problems with infinitesimals and regularity, difficulties with act-state dependence, and debates over evidence. Easwaran employs measurement theory to show probabilistic representation is analogous to representing temperature - different scales (Fahrenheit/Celsius, probability/odds) can represent the same underlying non-numerical reality.Later chapters examine how beliefs should update through conditionalization, while distinguishing different sources of rational norms. Easwaran defends a notably permissive view: any probability function is internally rational, as reason alone cannot dictate privileged priors. However, "ecological rationality" explains why certain belief systems perform better in specific environments, acknowledging both Bayesianism's abstract permissiveness and practical constraints making certain credal states more successful. N° de réf. du vendeur LU-9781138647718
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