The Annals of Philosophy PDF Download
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 522
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 522
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Book Description
Author: Thomas Thomson
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 528
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Book Description
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1030
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Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 530
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Book Description
Author: Royal Society (Great Britain). Library
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 282
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Book Description
Author: Colin Howson
Publisher: Open Court Publishing
ISBN: 081269578X
Category : Philosophy
Languages : en
Pages : 344
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Book Description
In this clearly reasoned defense of Bayes's Theorem -- that probability can be used to reasonably justify scientific theories -- Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments, and demonstrate that the classical approach to statistical inference is full of flaws. Arguing the case for the Bayesian method with little more than basic algebra, the authors show that it avoids the difficulties of the classical system. The book also refutes the major criticisms leveled against Bayesian logic, especially that it is too subjective. This newly updated edition of this classic textbook is also suitable for college courses.
Author: David M. Knight
Publisher: Taylor & Francis
ISBN: 9780415179133
Category : Philosophy
Languages : en
Pages : 642
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Book Description
Author: Philip Dray
Publisher: Random House
ISBN: 1588364615
Category : History
Languages : en
Pages : 178
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Book Description
“We forget, living in this era of heavily patented research and closely guarded results, how wonderfully exciting the scientific world used to be. In Stealing God’s Thunder, the story of Benjamin Franklin’s invention of the lightening rod and the resulting consequences, that sense of wonder and excitement and even fear comes beautifully to life. Philip Dray does a remarkable job of illuminating the ever-fascinating Franklin and, more than that, the way that he, and his invention, helped create the new scientific world.” –Deborah Blum, author of Love at Goon Park: Harry Harlow and the Science of Affection Stealing God’s Thunder is a concise, richly detailed biography of Benjamin Franklin viewed through the lens of his scientific inquiry and its ramifications for American democracy. Today we think of Benjamin Franklin as a founder of American independence who also dabbled in science. But in Franklin’s day it was otherwise. Long before he was an eminent statesman, he was famous for his revolutionary scientific work, especially his experiments with lightning and electricity. Pulitzer Prize finalist Philip Dray uses the evolution of Franklin’s scientific curiosity and empirical thinking as a metaphor for America’s struggle to establish its fundamental values. Set against the backdrop of the Enlightenment and America’s pursuit of political equality for all, Stealing God’s Thunder recounts how Franklin unlocked one of the greatest natural mysteries of his day, the seemingly unknowable powers of electricity and lightning. Rich in historic detail and based on numerous primary sources, Stealing God’s Thunder is a fascinating original look at one of our most beloved and complex founding fathers.
Author: British Museum. Department of Printed Books
Publisher:
ISBN:
Category : English literature
Languages : en
Pages : 810
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Book Description
Author: Dirk Draheim
Publisher: Springer
ISBN: 3319698680
Category : Computers
Languages : en
Pages : 108
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Book Description
This book provides a frequentist semantics for conditionalization on partially known events, which is given as a straightforward generalization of classical conditional probability via so-called probability testbeds. It analyzes the resulting partial conditionalization, called frequentist partial (F.P.) conditionalization, from different angles, i.e., with respect to partitions, segmentation, independence, and chaining. It turns out that F.P. conditionalization meets and generalizes Jeffrey conditionalization, i.e., from partitions to arbitrary collections of events, opening it for reassessment and a range of potential applications. A counterpart of Jeffrey’s rule for the case of independence holds in our frequentist semantics. This result is compared to Jeffrey’s commutative chaining of independent updates. The postulate of Jeffrey's probability kinematics, which is rooted in the subjectivism of Frank P. Ramsey, is found to be a consequence in our frequentist semantics. This way the book creates a link between the Kolmogorov system of probability and one of the important Bayesian frameworks. Furthermore, it shows a preservation result for conditional probabilities under the full update range and compares F.P. semantics with an operational semantics of classical conditional probability in terms of so-called conditional events. Lastly, it looks at the subjectivist notion of desirabilities and proposes a more fine-grained analysis of desirabilities a posteriori. This book appeals to researchers who are involved in any kind of knowledge processing systems. F.P. conditionalization is a straightforward, fundamental concept that fits human intuition, and is systematically linked to one of the important Bayesian frameworks. As such, the book is interesting for anybody investigating the semantics of reasoning systems.
