In this influential study of central issues in the philosophy of science, Paul Horwich elaborates on an important conception of probability, diagnosing the failure of previous attempts to resolve these issues as stemming from a too-rigid conception of belief. Adopting a Bayesian strategy, he argues for a probabilistic approach, yielding a more complete understanding of the characteristics of scientific reasoning and methodology. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Colin Howson, illuminating its enduring importance…mehr
In this influential study of central issues in the philosophy of science, Paul Horwich elaborates on an important conception of probability, diagnosing the failure of previous attempts to resolve these issues as stemming from a too-rigid conception of belief. Adopting a Bayesian strategy, he argues for a probabilistic approach, yielding a more complete understanding of the characteristics of scientific reasoning and methodology. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Colin Howson, illuminating its enduring importance and relevance to philosophical enquiry, this engaging work has been revived for a new generation of readers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Paul Horwich is Professor of Philosophy at New York University. He is best known for his contributions to the philosophy of science, including a probabilistic account of scientific methodology. His most recent publications include Wittgenstein's Metaphilosophy (2012) and Truth - Meaning - Reality (2010).
Inhaltsangabe
Preface to this edition Colin Howson Part I. Methodology: 1. Introduction 2. Aspects of the scientific method 3. A taste of Bayesianism Part II. Probability: 4. The primitive theory 5. Subjectivism 6. The rationalist interpretation 7. The logical interpretation 8. The evidential state 9. The empirical interpretation Part III. Confirmation: 10. Explications 11. The paradox 12. A Bayesian pseudo-solution to the problem of induction 13. Projection Part IV. Induction: Section 1. The Nature of Inductive Inference Section 2. Conditions of Rationality: 14. Demonstrable reliability 15. The demonstrable reliability of c+ 16. Immodesty 17. Audacity Section 3. The Justification of Induction: 18. The impossibility of a noncircular rationale 19. Inductive demonstration of reliability 20. Semantic justification Part V. Prediction: 21. Surprise 22. Severe tests 23. Ad hoc hypothesis 24. Prediction versus accommodation Part VI. Evidence: 25. The evidential value of varied data 26. The value of further data Part VII. Realism: 27. Popper 28. Realism versus instrumentalism 29. Putnam 30. Glymour 31. Conclusion Bibliography Index.
Preface to this edition Colin Howson Part I. Methodology: 1. Introduction 2. Aspects of the scientific method 3. A taste of Bayesianism Part II. Probability: 4. The primitive theory 5. Subjectivism 6. The rationalist interpretation 7. The logical interpretation 8. The evidential state 9. The empirical interpretation Part III. Confirmation: 10. Explications 11. The paradox 12. A Bayesian pseudo-solution to the problem of induction 13. Projection Part IV. Induction: Section 1. The Nature of Inductive Inference Section 2. Conditions of Rationality: 14. Demonstrable reliability 15. The demonstrable reliability of c+ 16. Immodesty 17. Audacity Section 3. The Justification of Induction: 18. The impossibility of a noncircular rationale 19. Inductive demonstration of reliability 20. Semantic justification Part V. Prediction: 21. Surprise 22. Severe tests 23. Ad hoc hypothesis 24. Prediction versus accommodation Part VI. Evidence: 25. The evidential value of varied data 26. The value of further data Part VII. Realism: 27. Popper 28. Realism versus instrumentalism 29. Putnam 30. Glymour 31. Conclusion Bibliography Index.
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