Philosophy of Probability
Author:   J.P. Dubucs
Publisher:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 1993
Volume:   56
ISBN:  

9789048143016


Pages:   296
Publication Date:   28 October 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Philosophy of Probability


Overview

Philosophy of Probability provides a comprehensive introduction to theoretical issues that occupy a central position in disciplines ranging from philosophy of mind and epistemology to cognitive science, decision theory and artificial intelligence. Some contributions shed new light on the standard conceptions of probability (Bayesianism, logical and computational theories); others offer detailed analyses of two important topics in the field of cognitive science: the meaning and the representation of (partial) belief, and the management of uncertainty. The authors of this well-balanced account are philosophers as well as computer scientists (among them, L.J. Cohen, D. Miller, P. Gärdenfors, J. Vickers, D. Dubois and H. Prade). This multidisciplinary approach to probability is designed to illuminate the intricacies of the problems in the domain of cognitive inquiry. No one interested in epistemology or aritificial intelligence will want to miss it.

Full Product Details

Author:   J.P. Dubucs
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 1993
Volume:   56
Dimensions:   Width: 15.20cm , Height: 1.60cm , Length: 22.90cm
Weight:   0.464kg
ISBN:  

9789048143016


ISBN 10:   9048143012
Pages:   296
Publication Date:   28 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Content.- 1: Personalistic Bayesianism.- 2: On Higher Order Beliefs.- 3: On the Logic of Relevance.- 4: Diverging Distributions.- 5: Inductive Logic Revisited.- 6: Probability and Utility.- 7: What Has Probability to Do with Strength of Belief.- 8: Randomness, Unpredictability and Absence of Order: The Identification by the Theory of Recursivity of the Mathematical Notion of Random Sequence.- 9: A Glance at Non-Standard Models and Logics of Uncertainty and Vagueness.- 10: Causal Laws are Objectifications of Inductive Schemes.- 11: Probabilistic Inference in Artificial Intelligence: The Method of Bayesian Networks.

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