Probability and Evidence
Probability and Evidence by Paul Horwich, published by Cambridge University Press on June 16, 2011, is a reissue of the original work from 1982. This volume presents a clear and unified approach to various problems in the philosophy of science, focusing on the limitations of traditional belief systems and advocating for a Bayesian strategy. Horwich emphasizes the importance of understanding degrees of confidence in light of scientific evidence, aiming to provide a more nuanced perspective on scientific reasoning.
Readers will find that this book addresses significant philosophical issues, including the merits of simplicity and the resolution of debates between realist and instrumentalist views of science. By elaborating on an important conception of probability, Horwich offers insights that are relevant to those interested in philosophy, ethics, and analytic movements. With 158 pages, this edition is designed to stimulate thought and discussion among those engaged in the philosophy of science.
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In this volume, which was originally published in 1982, Paul Horwich presents a clear and unified approach to a number of problems in the philosophy of science. He diagnoses the failure of other attempts to resolve them as stemming from a too-rigid, all-or-nothing conception of belief, and adopts instead a Bayesian strategy, emphasising the degree of confidence to which we are entitled the light of scientific evidence. This probabilistic approach, he argues, yields a more complete understanding of the assumptions and procedures characteristic of scientific reasoning. It also accounts for the merits of simplicity, severe tests and surprising predictions, and provides a way in which the dispute between the realist and instrumentalist views of science might be resolved. The result is a crisp, well-focused contribution to the philosophy of science. The elaboration of an important conception of probability will stimulate anyone with an interest in the field.
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