Ian Hacking

Introduction to Probability and Inductive Logic (eBook, PDF)

• Format: PDF

Produktbeschreibung

This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students (not only those majoring in philosophy) and assumes no formal training in elementary symbolic logic. 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. The key features of this book are a lively and vigorous prose style; lucid and systematic organization and presentation of ideas; many practical applications; a rich supply of exercises drawing on examples from such fields as psychology, ecology, economics, bioethics, engineering, and political science; numerous brief historical accounts of how fundamental ideas of probability and induction developed; and a full bibliography of further reading.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. Juli 2001
• Englisch
• ISBN-13: 9781139632744
• Artikelnr.: 52942506

Autorenporträt

Ian Hacking is the winner of the Holberg International Memorial Prize 2009.

Inhaltsangabe

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.