An Introduction to Probability and Inductive Logic

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Cambridge University Press, 2 jul 2001 - 302 páginas
This is an introductory 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 the book are: * A lively and vigorous prose style* Lucid and systematic organization and presentation of the 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.* A full bibliography of further reading Although designed primarily for courses in philosophy, the book could certainly be read and enjoyed by those in the social sciences (particularly psychology, economics, political science and sociology) or medical sciences such as epidemiology seeking a reader-friendly account of the basic ideas of probability and induction. Ian Hacking is University Professor, University of Toronto. He is Fellow of the Royal Society of Canada, Fellow of the British Academy, and Fellow of the American Academy of Arts and Sciences. he is author of many books including five previous books with Cambridge (The Logic of Statistical Inference, Why Does Language Matter to Philosophy?, The Emergence of Probability, Representing and Intervening, and The Taming of Chance).
 

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Índice

Logic
1
What Is Inductive Logic?
11
HOW TO CALCULATE PROBABILITIES
23
Elementary Probability Ideas
37
Conditional Probability
47
The Basic Rules of Probability
58
Bayes Rule
69
HOW TO COMBINE PROBABILITIES AND UTILITIES
79
Coherence
163
Learning from Experience
171
PROBABILITY AS FREQUENCY
189
Normal Approximations
201
Significance and Power
209
Confidence and Inductive Behavior
229
PROBABILITY APPLIED TO PHILOSOPHY
247
Learning from Experience as an Evasion of the Problem of Induction
256

Maximizing Expected Value
98
Decision under Uncertainty
114
KINDS OF PROBABILITY
127
Theories about Probability
140
PROBABILITY AS A MEASURE OF BELIEF
151
Inductive Behavior as an Evasion of the Problem of Induction
261
Answers to the Exercises
269
Further Reading
293
Index
300
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Sobre el autor (2001)

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

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