Making it Formally Explicit: Probability, Causality and Indeterminism

Part I. Probability and chance-credence norms.- Chapter 1. Can Bayesian agents always be rational? A principled analysis of consistency of an Abstract Principal Principle (Miklós Rédei and Zalán Gyenis).- Chapter 2. Does the Principal Principle imply the Principle of Indifference? (Balázs Gyenis and Leszek Wronski).- Chapter 3. A Mathematical Approach to Lewis' Principal Principle - An Analysis through Examples (Gergei Bana).- Chapter 4. Three methods for solving the problem of inconsistent marginals in data integration (Christian Wallmann and Jon Williamson).- Part II. Structures for quantum experiments.- Chapter 5. Separate common causes and EPR correlations - an ``almost no-go'' result (Tomasz Placek, Leszek Wronski and Michal Tomasz Godziszewski).- Chapter 6. On quantum nonlocal correlations and probability spaces used to model them (Márton Gömöri and Tomasz Placek).- Chapter 7. Reichenbachian common cause systems of size 3 in general probability theories (Yuichiro Kitajima).- Chapter 8. Two Sources of Non-locality in Quantum Mechanics? (Iñaki San Pedro).- Part III. Indeterminism, Undecidability, and Macrostates.- Chapter 9. On the semantics of spacetime theories (László E. Szabó).- Chapter 10. Indeterminism, Gravitation, and Spacetime Theory (Samuel C. Fletcher).- Chapter 11. Extendible maximal globally hyperbolic spacetimes in classical general relativity: a philosophical survey (Juliusz Doboszewski).- Chapter 12. On the emergence of macrostates (Márton Gömöri, Balázs Gyenis, Gábor Hofer-Szabó).- Chapter 13. Experimental Logics as a Model of Development of Deductive Science and Computational Properties of Undecidable Sentences (Michal Tomasz Godziszewski)