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
If A caused B and B caused C, did A caused C? Although causality is generally regarded as transitive...
We begin by considering two principles, each having the form causal completeness ergo screening-off....
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
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...
Probabilistic theories of causality emerged in the 1960s together with the criticism of the idea tha...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...
The notion of common cause closedness of a classical, Kolmogorovian probability space with respect t...
Abstract We clarify the status of the so-called causal minimality condition in the theory of causal ...
This paper presents my fullest account of probabilistic causation. It is based on the analysis of di...
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...
We begin by considering two principles, each having the form causal completeness ergo screening-off....
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
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...
Probabilistic theories of causality emerged in the 1960s together with the criticism of the idea tha...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...
The notion of common cause closedness of a classical, Kolmogorovian probability space with respect t...
Abstract We clarify the status of the so-called causal minimality condition in the theory of causal ...
This paper presents my fullest account of probabilistic causation. It is based on the analysis of di...
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...
We begin by considering two principles, each having the form causal completeness ergo screening-off....
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...