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.
"synopsis" may belong to another edition of this title.
'... the strongest and most influential parts of Probability and Evidence are Horwich's solutions to various puzzles about scientific reasoning ... the book might very well still be of considerable interest to those who are looking for an engaging and readable introduction to the topic of scientific reasoning from a Bayesian perspective.' Finnur Dellsén, Metascience
This 1982 volume diagnoses the failure of other attempts to a number of problems in the philosophy of science 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.
"About this title" may belong to another edition of this title.
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