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Overview"There are many proposed aims for scientific inquiry--to explain or predict events, to confirm or falsify hypotheses, or to find hypotheses that cohere with our other beliefs in some logical or probabilistic sense. This book is devoted to a different proposal--that the logical structure of the scientist's method should guarantee eventual arrival at the truth given the scientist's background assumptions. Interest in this methodological property, called ""logical reliability,"" stems from formal learning theory, which draws its insights not from the theory of probability, but from the theory of computability. Kelly first offers an accessible explanation of formal learning theory, then goes on to develop and explore a systematic framework in which various standard learning theoretic results can be seen as special cases of simpler and more general considerations. This approach answers such important questions as whether there are computable methods more reliable than Bayesian updating or Popper's method of conjectures and refutations. Finally, Kelly clarifies the relationship between the resulting framework and other standard issues in the philosophy of science, such as probability, causation, and relativism. His work is a major contribution to the literature and will be essential reading for scientists, logicians, and philosophers" Full Product DetailsAuthor: Kevin T. Kelly (Associate Professor, Department of Philosophy, Associate Professor, Department of Philosophy, Carnegie Mellon University)Publisher: Oxford University Press Inc Imprint: Oxford University Press Inc Dimensions: Width: 23.50cm , Height: 3.50cm , Length: 16.00cm Weight: 0.776kg ISBN: 9780195091953ISBN 10: 0195091957 Pages: 448 Publication Date: 15 February 1996 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: To order  Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of ContentsIntroduction ; 1. Reliable Inquiry ; 2. The Demons of Passive Observation ; 3. Topology and Ideal Hypothesis Assessment ; 4. Continuity, Reducibility, and the Game of Science ; 5. The Demons of Computability ; 6. Computers in Search of Truth ; 7. So Much Time, Such Little Brains ; 8. The Logic of Ideal Discovery ; 9. Computerized Discobvery ; 10. Prediction ; 11. The Assessment and Discovery of First-order Theories ; 12. Probability and Reliability ; 13. Experiment and Causal Inference ; 14. Relativism and ReliabilityReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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