Nomic Probability and the Foundations of Induction - John L. Pollock

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Nomic Probability and the Foundations of Induction

By: John L. Pollock

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Hardcover | 22 February 1990

At a Glance

Hardcover
364 Pages

Dimensions(cm)
21.59 x 13.97 x 2.39

Hardcover

RRP $550.00

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This book deals with the subject of probabilistic reasoning. Professor Pollock attempts to make general philosophical sense of objective probabilities and he explores their relationship to the problem of induction. He argues that probability is fundamental not only to physical science, but to induction, epistemology, the philosophy of science and to much reasoning of interest to artificial intelligence. He attempts to show how his understanding of probability throws light on these related issues. Pollock's main claim is that the fundamental notion of probability is nomic - that is, it involves the notion of natural law, valid across possible worlds. The various epistemic and statistical conceptions of probability, he demonstrates, are derived from this nomic notion. He goes on to provide a theory of statistical induction; an account of computational principles allowing some probabilities to be derived from others; an account of acceptance rules; and a theory of direct inference.

Industry Reviews

"The book gives evidence of a powerful philosophical mind, and it is well worth the investment its careful study requires."--Philosophical Review "There is no doubt whatsoever that this book will be a serious contribution to the field. No one, I am confident, has even come close to developing as thorough and persuasive a treatment of uncertain reasoning and its relation to nomic probability. It is very impressive. The unity that Pollock's book introduces to the treatment of statistics, induction, nonmonotonic reasoning in AI, and defeasible reasoning in epistemology, constitutes a permanent contribution in itself."--Henry Kyburg, University of Rochester "The book gives evidence of a powerful philosophical mind, and it is well worth the investment its careful study requires."--Philosophical Review "There is no doubt whatsoever that this book will be a serious contribution to the field. No one, I am confident, has even come close to developing as thorough and persuasive a treatment of uncertain reasoning and its relation to nomic probability. It is very impressive. The unity that Pollock's book introduces to the treatment of statistics, induction, nonmonotonic reasoning in AI, and defeasible reasoning in epistemology, constitutes a permanent contribution in itself."--Henry Kyburg, University of Rochester

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