The Structure of Scientific Inference
eBook - ePub

The Structure of Scientific Inference

  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Structure of Scientific Inference

Book details
Table of contents
Citations

About This Book

This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974.

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Information

Publisher
University of California Press
Year
2023
ISBN
9780520313316
Edition
1
Topic
Biological Sciences
Subtopic
Science General
Index
Biological Sciences

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents 1
  5. Acknowledgments
  6. Introduction THE TASK OF A LOGIC OF SCIENCE
  7. CHAPTER ONE Theory and Observation 1. Is there an independent observation language?
  8. II. Entrenchment
  9. III. The network model
  10. IV. Theoretical predicates
  11. V. Theories
  12. VI. Conclusion
  13. CHAPTER TWO A Network Model of Universals 1. The problem of universals
  14. II. The correspondence postulate
  15. III. Coherence conditions
  16. IV. Some epistemological consequences
  17. V. Meaning-change
  18. VI. Goodman’s strictures on similarity
  19. VII. Absolute universals again
  20. CHAPTER THREE The Grue Paradox I. Principles of solution
  21. II. Objective tests of ‘grue'
  22. III. Meaning variance and entrenchment
  23. CHAPTER FOUR The Logic of Induction as Explication I. Hume s legacy
  24. II. A more modest programme
  25. III. Probabilistic confirmation
  26. CHAPTER FIVE Personalist Probability I. Axioms and interpretation
  27. II. Bayesian methods
  28. III. Convergence of opinion
  29. IV. Non-Bayesian transformations
  30. V. Uncertain evidence
  31. CHAPTER SIX Bayesian Confirmation Theory I. The positive relevance criterion
  32. II. The transitivity paradox
  33. III. Suggested resolutions
  34. CHAPTER SEVEN Universal Generalizations I. Exchangeability and clustering
  35. II. The raven paradoxes
  36. III. Clustering in Carnap’s confirmation theory
  37. IV. Extension to analogical argument
  38. V. Causal laws and eliminative induction
  39. CHAPTER EIGHT Finiteness, Laws and Causality 1. The distribution of initial probabilities
  40. II. The probability of laws
  41. III. The necessity of laws
  42. CHAPTER NINE Theory as Analogy I. Some false moves: ‘acceptance’ and ‘explanation’
  43. II. Deduction from phenomena
  44. III. Whewell’s consilience of inductions
  45. IV. The analogical character of theories
  46. V. The function of models
  47. VI. Identification of theoretical predicates
  48. CHAPTER TEN Simplicity I. Subjective and notational simplicity
  49. II. Content
  50. III. Economy and clustering
  51. IV. The principle of relativity and classical electrodynamics
  52. V. Einstein’s logic of theory structure
  53. VI. Summary
  54. CHAPTER ELEVEN Maxwell’s Logic of Analogy I. Hypothetical, mathematical and analogical methods
  55. II. Experimental identifications
  56. III. The electrodynamic theory
  57. IV. Meaning variance and experimental identifications
  58. CHAPTER TWELVE A Realist Interpretation of Science I. The aims of science
  59. II. From naive realism to pluralism
  60. III. Realism and relativity
  61. IV. The cumulative character of science
  62. Index of Names
  63. Index of Subjects