Nomic Probability and the Foundations of Induction

Hardcover | April 30, 1999

byJohn L. Pollock

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In this book Pollock deals with the subject of probabilistic reasoning, making general philosophical sense of objective probabilities and exploring 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 much of the reasoning relevant to artificial intelligence. 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 statisticalconceptions 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 directinference.

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In this book Pollock deals with the subject of probabilistic reasoning, making general philosophical sense of objective probabilities and exploring 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 much of...

John L. Pollock is at University of Arizona, Tucson.

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Format:HardcoverDimensions:368 pages, 8.54 × 5.83 × 1.22 inPublished:April 30, 1999Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:019506013X

ISBN - 13:9780195060133

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"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 thatPollock'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