The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


The Logic of Reliable Inquiry (Logic and Computation in Philosophy)

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Kevin T. Kelly 作者
Oxford University Press, USA
譯者
1996-01-04 出版日期
448 頁數
USD 145.00 價格
Hardcover
叢書系列
9780195091953 圖書編碼

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The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 著者簡介


The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 著者簡介


The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Logic of Reliable Inquiry (Logic and Computation in Philosophy) 在線電子書 圖書描述

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

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