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.
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