
Probabilistic Reasoning across the Causal Hierarchy
We propose a formalization of the threetier causal hierarchy of associa...
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A Potential Outcomes Calculus for Identifying Conditional PathSpecific Effects
The docalculus is a wellknown deductive system for deriving connection...
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On OpenUniverse Causal Reasoning
We extend two kinds of causal models, structural equation models and sim...
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A Probabilistic Calculus of Actions
We present a symbolic machinery that admits both probabilistic and causa...
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The DoCalculus Revisited
The docalculus was developed in 1995 to facilitate the identification o...
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BDDbased reasoning in the fluent calculus  first results
The paper reports on first preliminary results and insights gained in a ...
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Representing scenarios for process evolution management
In the following writing we discuss a conceptual framework for represent...
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A Calculus for Causal Relevance
This paper presents a sound and completecalculus for causal relevance, based onPearl's functional models semantics.The calculus consists of axioms and rulesof inference for reasoning about causalrelevance relationships.We extend the set of known axioms for causalrelevance with three new axioms, andintroduce two new rules of inference forreasoning about specific subclasses ofmodels.These subclasses give a more refinedcharacterization of causal models than the one given in Halpern's axiomatizationof counterfactual reasoning.Finally, we show how the calculus for causalrelevance can be used in the task ofidentifying causal structure from nonobservational data.
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