How do we go about weighing evidence, testing hypotheses, and making inferences? According to this work, we infer the hypothesis that would, if correct, provide the best explanation of the available evidence. Articulating the model of "Inference to the Best Explanation" requires an account of what makes one explanation better than another. Lipton distinguishes between the explanation best supported by the evidence - the likeliest explanation - and the explanation that would, if true, provide the most understanding - the loveliest explanation. He argues that an illuminating version of "Inference to the Best Explanation" must rely on the latter notion, and provides a new account of what makes one explanation lovelier than another. He does this by analyzing the structure of contrastive explanations, explanations that answer the form "why P rather than Q?". The analysis of contrastive explanation is then shown to support a strong version of "Inference to the Best Explanation" that reveals how explanatory considerations can be a guide to inference.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
How do we go about weighing evidence, testing hypotheses, and making inferences? According to the model of Inference to the Best Explanation, we work out what to infer from the evidence by thinking about what would actually explain that evidence, and we take the ability of a hypothesis to explain the evidence as a sign that the hypothesis is correct. In Inference to the Best Explanation, Peter Lipton gives this important and influential idea the development and assessment it deserves.
The second edition has been substantially enlarged and reworked, with a new chapter on the relationship between explanation and Bayesianism, and an extension and defence of the account of contrastive explanation. It also includes an expanded defence of the claims that our inferences really are guided by diverse explanatory considerations, and that this pattern of inference can take us towards the truth. This edition of Inference to the Best Explanation has also been updated throughout and includes a new bibliography.
Peter Lipton is Hans Rausing Professor of History and Philosophy of Science at the University of Cambridge.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
EUR 14,45 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisVendeur : Cambridge Recycled Books, Cambridge, Royaume-Uni
Paperback. Etat : Very Good. Appears to have hardly been read. Same day dispatch (Mon- Fri) from the UK if ordered by 1pm. N° de réf. du vendeur SS34221010028
Quantité disponible : 1 disponible(s)
Vendeur : Burwood Books, Wickham Market, Royaume-Uni
Paperback. Etat : Very Good. First Edition. Wraps. 8vo. Printed wraps / paperback. pp x, 194. First edition in paperback. ISBN: 0415100291 Slight edgewear else very good indeed. N° de réf. du vendeur C85337
Quantité disponible : 1 disponible(s)