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An Introduction to Probability and Inductive Logic
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  • Cited by 132
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

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    Roser, Dominic 2017. The Irrelevance of the Risk-Uncertainty Distinction. Science and Engineering Ethics, Vol. 23, Issue. 5, p. 1387.

    Dettweiler, Ulrich Lauterbach, Gabriele Becker, Christoph and Simon, Perikles 2017. A Bayesian Mixed-Methods Analysis of Basic Psychological Needs Satisfaction through Outdoor Learning and Its Influence on Motivational Behavior in Science Class. Frontiers in Psychology, Vol. 8, Issue. ,

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    Köhn, Julia 2017. Uncertainty in Economics. p. 17.

    Wieringa, Sietse Engebretsen, Eivind Heggen, Kristin and Greenhalgh, Trish 2017. Has evidence-based medicine ever been modern? A Latour-inspired understanding of a changing EBM. Journal of Evaluation in Clinical Practice, Vol. 23, Issue. 5, p. 964.

    Baecher, Gregory B. 2017. Bayesian Thinking in Geotechnics. p. 1.


Book description

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.


‘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 Source: The Times Higher Education Supplement

'This is, as intended, a very introductory text in probability and inductive logic.'

Source: Zentralblatt für Mathematik

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