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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 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.
This book investigates the fundamental nature of objective probability and its essential role in the mechanism of induction. John L. Pollock, a noted philosopher of mind and epistemology, utilizes a rigorous analytical framework to argue that probability is inherently nomic, meaning it is grounded in natural laws that transcend specific instances. By establishing this nomic foundation, he seeks to unify disparate statistical and epistemic theories of probability into a coherent system that supports scientific reasoning and artificial intelligence development.
What You Will Find
Experts in the field of formal epistemology recognize this work as a significant contribution to the understanding of probabilistic reasoning. Readers frequently note the high level of technical density and the rigorous logical structure required to engage with Pollock's arguments.
Page Count:
368
Publication Date:
1990-02-22
Publisher:
Oxford University Press
ISBN-10:
019506013X
ISBN-13:
9780195060133
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