Generalized Jeffrey Conditionalization / Najlacnejšie knihy
Generalized Jeffrey Conditionalization

Code: 18185022

Generalized Jeffrey Conditionalization

by Dirk Draheim

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 t ... more

55.76


Low in stock at our supplier
Shipping in 13 - 18 days

Potřebujete více kusů?Máte-li zájem o více kusů, prověřte, prosím, nejprve dostupnost titulu na naši zákaznické podpoře.


Add to wishlist

You might also like

Give this book as a present today
  1. Order book and choose Gift Order.
  2. We will send you book gift voucher at once. You can give it out to anyone.
  3. Book will be send to donee, nothing more to care about.

Book gift voucher sampleRead more

More about Generalized Jeffrey Conditionalization

You get 135 loyalty points

Book synopsis

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.

Book details

Book category Books in English Society & social sciences Psychology Cognition & cognitive psychology

55.76

Trending among others



Collection points Bratislava a 12944 dalších

Copyright ©2008-26 najlacnejsie-knihy.sk All rights reservedPrivacyCookies


Account: Log in
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Shopping cart ( Empty )

For free shipping
shop for 59,99 € and more

You are here: