Choice and Chance: An Introduction to Inductive Logic (Second Edition)

Skyrms, Brian

ISBN 10: 0822101343 / ISBN 13: 9780822101345

Published by Dickenson Pub. Co, 1975

About this Item

Covers and edges show some rubbing, scuffing, fading and small scratches and creases. Inside of front cover has an old price sticker. Cover page has it's top outside corner cut off. Some underlining in pencil throughout book.

Seller Inventory # mon0000016035

Bibliographic Details

• Title: Choice and Chance: An Introduction to Inductive Logic (Second Edition)
• Publisher: Dickenson Pub. Co
• Publication Date: 1975
• Language: English
• ISBN 10: 0822101343
• ISBN 13: 9780822101345
• Binding: paperback
• Edition: 2nd Edition
• Condition: Acceptable

About this title

Synopsis

This definitive survey of the hottest issues in inductive logic sets the stage for further classroom discussion.

Review

Preface. I. BASICS OF LOGIC. Introduction. The Structure of Simple Statements. The Structure of Complex Statements. Simple and Complex Properties. Validity. 2. PROBABILITY AND INDUCTIVE LOGIC. Introduction. Arguments. Logic. Inductive versus Deductive Logic. Epistemic Probability. Probability and the Problems of Inductive Logic. 3. THE TRADITIONAL PROBLEM OF INDUCTION. Introduction. Hume's Argument. The Inductive Justification of Induction. The Pragmatic Justification of Induction. Summary. IV. THE GOODMAN PARADOX AND THE NEW RIDDLE OF INDUCTION. Introduction. Regularities and Projection. The Goodman Paradox. The Goodman Paradox, Regularity, and the Principle of the Uniformity of Nature. Summary. 5. MILL'S METHODS OF EXPERIMENTAL INQUIRY AND THE NATURE OF CAUSALITY. Introduction. Causality and Necessary and Sufficient Conditions. Mill's Methods. The Direct Method of Agreement. The Inverse Method of Agreement. The Method of Difference. The Combined Methods. The Application of Mill's Methods. Sufficient Conditions and Functional Relationships. Lawlike and Accidental Conditions. 6. THE PROBABILITY CALCULUS. Introduction. Probability, Arguments, Statements, and Properties. Disjunction and Negation Rules. Conjunction Rules and Conditional Probability. Expected Value of a Gamble. Bayes' Theorem. Probability and Causality. 7. KINDS OF PROBABILITY. Introduction. Rational Degree of Belief. Utility. Ramsey. Relative Frequency. Chance. 8. PROBABILITY AND SCIENTIFIC INDUCTIVE LOGIC. Introduction. Hypothesis and Deduction. Quantity and Variety of Evidence. Total Evidence. Convergence to the Truth. ANSWERS TO SELECTED EXERCISES. INDEX.