A theory of physical probability /

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Johns, Richard, 1968- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Toronto, Ont. : University of Toronto Press, ©2002.
Colección:Toronto studies in philosophy.
Temas:
Chance.
Causation.
Causality
Hasard.
Causalité.
PHILOSOPHY > General.
PHILOSOPHY > Epistemology.
Causation
Chance
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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
  • 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

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