| Description |
xv, 300 pages : illustrations ; 24 cm |
| Series |
Cambridge studies in probability, induction and decision theory |
|
Cambridge studies in probability, induction, and decision theory.
|
| Contents |
Metaphysical Pictures and Wishes -- Transfer Theories -- Is Causation a Relation Among Events? -- Causation, Regularities, and Time: Hume's Theory -- Causation and Independence -- Causation, Independence, and Causal Connection -- Agency Theory -- Causal Generalizations and Agency -- The Counterfactual Theory -- Independence and Counterfactual Dependence -- Counterfactuals, Agency, and Independence -- Agency, Counterfactuals, and Independence -- Causation, Explanation, and Laws -- Causation, Explanation, and Independent Alterability -- Probabilistic Causation -- Causation and Conditional Probabilities -- Causal Graphs and Conditional Probabilistic Dependencies -- Intervention, Robustness, and Probabilistic Dependence -- Interventions and Conditional Probabilities -- Operationalizing and Revising the Independence Theory -- Probability Distributions and Causation -- Complications and Conclusions -- App. A. Alphabetical List of Propositions -- App. B. List of Theorems |
| Summary |
This book by an eminent contemporary philosopher of science offers the first comprehensive treatment of causal asymmetries. It explains why a relationship that is asymmetrical in one of these regards is asymmetrical in others. Hausman discovers surprising hidden logical connections between apparently unrelated aspects of causation and traces them all to an asymmetry of independence, which he argues is constitutive of the causal relation. This is a major book for metaphysicians and philosophers of science that will also prove stimulating to statisticians and scientists |
| Bibliography |
Includes bibliographical references (pages 285-294) and index |
| Subject |
Causation.
|
|
Science -- Philosophy.
|
| LC no. |
97042437 |
| ISBN |
0521622891 (hardcover) |
|
