Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context of physical theories are both areas that have been neglected by philosophers of physics. This book fills an important gap in the literature by providing a most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics. The book explores both subjectivist and objectivist accounts of probability, and takes full measure of work in the foundations of probability theory, in statistical mechanics, and in mathematical theory. It will be of particular interest to philosophers of science, physicists and mathematicians interested in foundational issues, and also to historians of science.
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Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context of physical theories are both areas that have been neglected by philosophers of physics. This book fills an important gap in the literature by providing a most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics. The book explores both subjectivist and objectivist accounts of probability, and takes full measure of work in the foundations of probability theory, in statistical mechanics, and in mathematical theory. It will be of particular interest to philosophers of science, physicists and mathematicians interested in foundational issues, and also to historians of science.
'... essential reading for philosophers of physics interested in statistical mechanics and of deep interest to those in physics and mathematics interested in foundational issues.' Larry Sklar, author of Physics and Chance
'... it will become the standard reference for philosophers of science on foundational questions of statistical physics and related matters. It will be likewise useful as an advanced textbook.' Jan von Plato, author of Creating Modern Probability
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Etat : New. A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics. Series Editor(s): Skyrms, Brian; Adams, Ernest W.; Binmore, Ken; Butterfield, Jeremy; Diaconis, Persi; Harper, William L.; Harsanyi, John; Jeffrey, Richard C.; Spohn, Wolfgang. Series: Cambridge Studies in Probability, Induction and Decision Theory. Num Pages: 280 pages, black & white illustrations. BIC Classification: HPL; PH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 19. Weight in Grams: 604. . 1999. hardcover. . . . . N° de réf. du vendeur V9780521621281
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Etat : New. A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics. Series Editor(s): Skyrms, Brian; Adams, Ernest W.; Binmore, Ken; Butterfield, Jeremy; Diaconis, Persi; Harper, William L.; Harsanyi, John; Jeffrey, Richard C.; Spohn, Wolfgang. Series: Cambridge Studies in Probability, Induction and Decision Theory. Num Pages: 280 pages, black & white illustrations. BIC Classification: HPL; PH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 19. Weight in Grams: 604. . 1999. hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780521621281
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