Description

Book Synopsis
This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction.

Trade Review
'Hacking's book excels … especially in the practical, concrete examples. It uses minimal mathematics and presumes no acquaintance with symbolic logic. It is well suited for graduate or advanced undergraduate courses in inductive logic or related areas (such as philosophy of science or methodology courses in particular empirical sciences). The book gives a nice introduction to inductive logic.' Harry Gensler, The Times Higher Education Supplement
'This is, as intended, a very introductory text in probability and inductive logic.' Zentralblatt für Mathematik

Table of Contents
Part I. Logic: 1. Logic; 2. What is inductive logic?; Part II. How to Calculate Probabilities: 3. The gambler's fallacy; 4. Elementary probability; 5. Conditional probability; 6. Basic laws of probability; 7. Bayes' rule; Part III. How to Combine Probabilities and Utilities: 8. Expected value; 9. Maximizing expected value; 10. Decision under uncertainty; Part IV. Kinds of Probability: 11. What do you mean?; 12. Theories about probability; Part V. Probability as a Measure of Belief: 13. Personal probabilities; 14. Coherence; 15. Learning from experience; Part VI. Probability as Frequency: 16. Stability; 17. Normal approximations; 18. Significance; 19. Confidence and inductive behaviour; Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction; 21. Learning from experience as an evasion of the problem; 22. Inductive behaviour as an evasion of the problem.

An Introduction to Probability and Inductive Logic

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    A Paperback by Ian Hacking

    15 in stock


      View other formats and editions of An Introduction to Probability and Inductive Logic by Ian Hacking

      Publisher: Cambridge University Press
      Publication Date: 7/2/2001 12:00:00 AM
      ISBN13: 9780521775014, 978-0521775014
      ISBN10: 0521775019
      Also in:
      Philosophy

      Description

      Book Synopsis
      This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction.

      Trade Review
      'Hacking's book excels … especially in the practical, concrete examples. It uses minimal mathematics and presumes no acquaintance with symbolic logic. It is well suited for graduate or advanced undergraduate courses in inductive logic or related areas (such as philosophy of science or methodology courses in particular empirical sciences). The book gives a nice introduction to inductive logic.' Harry Gensler, The Times Higher Education Supplement
      'This is, as intended, a very introductory text in probability and inductive logic.' Zentralblatt für Mathematik

      Table of Contents
      Part I. Logic: 1. Logic; 2. What is inductive logic?; Part II. How to Calculate Probabilities: 3. The gambler's fallacy; 4. Elementary probability; 5. Conditional probability; 6. Basic laws of probability; 7. Bayes' rule; Part III. How to Combine Probabilities and Utilities: 8. Expected value; 9. Maximizing expected value; 10. Decision under uncertainty; Part IV. Kinds of Probability: 11. What do you mean?; 12. Theories about probability; Part V. Probability as a Measure of Belief: 13. Personal probabilities; 14. Coherence; 15. Learning from experience; Part VI. Probability as Frequency: 16. Stability; 17. Normal approximations; 18. Significance; 19. Confidence and inductive behaviour; Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction; 21. Learning from experience as an evasion of the problem; 22. Inductive behaviour as an evasion of the problem.

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