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A theory of physical probability /
Richard Johns argues that random events are fully caused and lack only determination by their causes; according to his causal theory of chance, the physical chance of an event is the degree to which the event is determined by its causes.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Toronto, Ont. :
University of Toronto Press,
©2002.
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| Colección: | Toronto studies in philosophy.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Johns, Richard, |d 1968- |e author. | |
| 245 | 1 | 2 | |a A theory of physical probability / |c Richard Johns. |
| 260 | |a Toronto, Ont. : |b University of Toronto Press, |c ©2002. | ||
| 300 | |a 1 online resource (vi, 259 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Toronto studies in philosophy. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a CONTENTS -- 1 Introduction -- 1.1 Motivation for the Causal Theory of Chance -- 1.2 Problems for the Causal Theory -- 1.3 Advantages of the Causal Theory -- 1.4 Overview of the Book -- 2 Logic and Probability -- 2.1 The Objections to Logical Probability -- 2.2 The Nature of Logical Probability -- 2.3 Measuring Degrees of Belief -- 2.4 The Axioms of Probability -- 2.5 Relative Probabilities -- 2.6 Interval Probabilities -- 2.7 The Symmetry Axiom -- 3 Causation and Determination -- 3.1 Causation -- 3.2 Determination | |
| 505 | 8 | |a 3.3 How Are Causation and Determination Related?4 Physical Chance -- 4.1 The Definition of Chance -- 4.2 Chance Is Relativized to a System -- 4.3 Lewis's Objections -- 4.4 A Proof of Miller's Principle -- 4.5 The Objections of Howson and Urbach -- 4.6 Chance and Relative Frequency -- 4.7 Frequency Theories of Probability -- 4.8 Conditional Chances -- 5 Classical Stochastic Mechanics -- 5.1 What Is CSM Good for? -- 5.2 The Law Function -- 5.3 Relevance and Correlation -- 5.4 Chance in a Composite System -- 5.5 Sub-histories, States, and Markov Systems | |
| 505 | 8 | |a 5.6 Boundary Conditions and Time5.7 The Arrow of Time -- 6 Correlation -- 6.1 Classical and Quantum Correlation -- 6.2 Reactions to EPR -- 6.3 Beyond Postulate CSM3 -- 7 The State Vector -- 7.1 The Problem -- 7.2 Large and Small Systems -- 7.3 Chance for Small Systems -- 7.4 Summary -- 8 Conclusion -- NOTES -- BIBLIOGRAPHY -- INDEX -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z | |
| 520 | |a Richard Johns argues that random events are fully caused and lack only determination by their causes; according to his causal theory of chance, the physical chance of an event is the degree to which the event is determined by its causes. | ||
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 650 | 0 | |a Chance. | |
| 650 | 0 | |a Causation. | |
| 650 | 2 | |a Causality | |
| 650 | 6 | |a Hasard. | |
| 650 | 6 | |a Causalité. | |
| 650 | 7 | |a PHILOSOPHY |x General. |2 bisacsh | |
| 650 | 7 | |a PHILOSOPHY |x Epistemology. |2 bisacsh | |
| 650 | 7 | |a Causation |2 fast | |
| 650 | 7 | |a Chance |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Johns, Richard, 1968- |t Theory of physical probability. |d Toronto : University of Toronto Press, ©2002 |z 0802036031 |w (DLC) 2003427055 |w (OCoLC)48493962 |
| 830 | 0 | |a Toronto studies in philosophy. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4671157 |z Texto completo |
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