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Nature's capacities and their measurement /

This book on the philosophy of science argues for an empiricism, opposed to the tradition of David Hume, in which singular rather than general causal claims are primary.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cartwright, Nancy
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford : New York : Clarendon Press ; Oxford University Press, 1989.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Nature's capacities and their measurement /  |c Nancy Cartwright. 
260 |a Oxford :  |b Clarendon Press ;  |a New York :  |b Oxford University Press,  |c 1989. 
300 |a 1 online resource (x, 268 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
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583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
520 8 |a This book on the philosophy of science argues for an empiricism, opposed to the tradition of David Hume, in which singular rather than general causal claims are primary. 
505 0 |a Introduction -- 1. How to Get Causes from Probabilities -- 1.1. Introduction -- 1.2. Determining Causal Structure -- 1.3. Inus Conditions -- 1.4. Causes and Probabilities in Linear Models -- 1.5. Conclusion -- Appendix: Back Paths and the Identification of Causes -- 2. No Causes In, No Causes Out -- 2.1. Introduction -- 2.2. Causes at Work in Mathematical Physics -- 2.3. New Knowledge Requires Old Knowledge -- 2.4. How Causal Reasoning Succeeds -- 2.5. Discovering Causal Structure: Can the Hypothetico-Deductive Method Work? -- 2.6. Conclusion -- 3. Singular Causes First. 
505 8 |a 3.1. Introduction -- 3.2. Where Singular Causes Enter -- 3.3. When Causes Are Probabilistic -- 3.4. More in Favour of Singular Causes -- 3.5. Singular Causes In, Singular Causes Out -- 3.6. Conclusion -- 4. Capacities -- 4.1. Introduction -- 4.2. Why Should Increases in Probability Recur? -- 4.3. Forecasting and the Stability of Capacities -- 4.4. Beyond Modality -- 4.5. Mill in Defence of Capacities -- 4.6. Conclusion -- 5. Abstract and Concrete -- 5.1. Introduction -- 5.2. Idealization and the Need for Capacities -- 5.3. Abstractions versus Symbolic Representations. 
505 8 |a 5.4. What do Abstract Laws Say? -- 5.5. Concreteness and Causal Structure -- 5.6. Conclusion -- 6. What Econometrics Can Teach Quantum Physics: Causality and the Bell Inequality -- 6.1. Introduction -- 6.2. Bell's Inequality -- 6.3. A General Common-Cause Criterion for the EPR Experiment -- 6.4. Quantum Realism and the Factorizability Condition -- 6.5. A Common-Cause Model for EPR -- 6.6. Quantum Mechanics and its Causal Structure -- 6.7. Factorizability and the Propagation of Causes -- 6.8. Conclusion -- Appendices -- I.A More General Common-Cause Model for EPR. 
505 8 |a II. Do Quantum Causes Propagate? -- III. Propagation, Effect-Locality, and Completeness: A Comparison -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W. 
546 |a English. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Causality (Physics) 
650 0 |a Probabilities. 
650 0 |a Physics  |x Philosophy. 
650 0 |a Quantum theory. 
650 0 |a Econometrics. 
650 2 |a Probability 
650 2 |a Quantum Theory 
650 6 |a Causalité (Physique) 
650 6 |a Probabilités. 
650 6 |a Physique  |x Philosophie. 
650 6 |a Théorie quantique. 
650 6 |a Économétrie. 
650 7 |a probability.  |2 aat 
650 7 |a Causality (Physics)  |2 fast 
650 7 |a Econometrics  |2 fast 
650 7 |a Physics  |x Philosophy  |2 fast 
650 7 |a Probabilities  |2 fast 
650 7 |a Quantum theory  |2 fast 
650 1 7 |a Causaliteit.  |2 gtt 
650 7 |a Causalité (physique)  |2 ram 
653 |a Physics  |a Causation 
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