We provide a formally rigorous framework for integrating singular causation, as under stood by Nuel Belnap’s theory of causae causantes, and objective single case probab ilities. The central notion is that of a causal probability space whose sample space consists of causal alternatives. Such a probability space is generally not isomorphic to a product space. We give a causally motivated statement of the Markov condition and an analysis of the concept of screening off. 1 Causal dependencies and probabilitie
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
This paper presents my fullest account of probabilistic causation. It is based on the analysis of di...
Some of these ideas were first presented at the Wokshop on Causality and Relativity, Barcelona 2007,...
We provide a formally rigorous framework for integrating singular causation, as under-stood by Nuel ...
We provide a formally rigorous framework for integrating singular causation, as understood by Nuel B...
We provide a formally rigorous framework for integrating singular causa-tion, as understood by Nuel ...
We provide a formally rigorous framework for integrating singular causation, as understood by Nuel B...
Branching space-times (BST) theory, as developed elsewhere, permits a sound and rigorously definable...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
The notion of common cause closedness of a classical, Kolmogorovian probability space with respect t...
Probabilistic theories of causality emerged in the 1960s together with the criticism of the idea tha...
Abstract We clarify the status of the so-called causal minimality condition in the theory of causal ...
Extending the ideas from (Hofer-Szabó and Rédei [2006]), we introduce the notion of causal up-to-n-c...
If A caused B and B caused C, did A caused C? Although causality is generally regarded as transitive...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
This paper presents my fullest account of probabilistic causation. It is based on the analysis of di...
Some of these ideas were first presented at the Wokshop on Causality and Relativity, Barcelona 2007,...
We provide a formally rigorous framework for integrating singular causation, as under-stood by Nuel ...
We provide a formally rigorous framework for integrating singular causation, as understood by Nuel B...
We provide a formally rigorous framework for integrating singular causa-tion, as understood by Nuel ...
We provide a formally rigorous framework for integrating singular causation, as understood by Nuel B...
Branching space-times (BST) theory, as developed elsewhere, permits a sound and rigorously definable...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
The notion of common cause closedness of a classical, Kolmogorovian probability space with respect t...
Probabilistic theories of causality emerged in the 1960s together with the criticism of the idea tha...
Abstract We clarify the status of the so-called causal minimality condition in the theory of causal ...
Extending the ideas from (Hofer-Szabó and Rédei [2006]), we introduce the notion of causal up-to-n-c...
If A caused B and B caused C, did A caused C? Although causality is generally regarded as transitive...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
This paper presents my fullest account of probabilistic causation. It is based on the analysis of di...
Some of these ideas were first presented at the Wokshop on Causality and Relativity, Barcelona 2007,...