Probability and causality : essays in honor of Wesley C. Salmon
著者
書誌事項
Probability and causality : essays in honor of Wesley C. Salmon
（Synthese library, v. 192）
D. Reidel Pub. Co., c1988
大学図書館所蔵 全44件
注記
"Publications : an annotated bibliography / Wesley C. Salmon": p. 271-336
Includes indexes
内容説明・目次
内容説明
The contributions to this special collection concern issues and problems discussed in or related to the work of Wesley C. Salmon. Salmon has long been noted for his important work in the philosophy of science, which has included research on the interpretation of probability, the nature of explanation, the character of reasoning, the justification of induction, the structure of space/time and the paradoxes of Zeno, to mention only some of the most prominent. During a time of increasing preoccupation with historical and sociological approaches to under standing science (which characterize scientific developments as though they could be adequately analysed from the perspective of political movements, even mistaking the phenomena of conversion for the rational appraisal of scientific theories), Salmon has remained stead fastly devoted to isolating and justifying those normative standards distinguishing science from non-science - especially through the vindi cation of general principles of scientific procedure and the validation of specific examples of scientific theories - without which science itself cannot be (even remotely) adequately understood. In this respect, Salmon exemplifies and strengthens a splendid tradi tion whose most remarkable representatives include Hans Reichenbach, Rudolf Carnap and Carl G. Hempel, all of whom exerted a profound influence upon his own development.
目次
Prologue.- Dynamic Rationality: Propensity, Probability, and Credence.- I: Probability, Causality, and Modality.- Hume's Refutation of Inductive Probabilism.- An Adamite Derivation of the Principles of the Calculus of Probability.- Probability, Possibility, and Plenitude.- Probabilistic Metaphysics.- Probabilistic Theories of Causation.- Conditional Chance.- II: Probability, Causality, and Decision.- How to Tell a Common Cause: Generalizations of the Conjunctive Fork Criterion.- Probabilistic Causal Interaction and Disjunctive Causal Factors.- The Principle of the Common Cause.- On Raising the Chances of Effects.- How to Probabilize a Newcomb Problem.- Non-Nietzschean Decision Making.- Epilogue.- Publications: An Annotated Bibliography.- Index of Names.- Index of Subjects.
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