International audienceIn this position paper we discuss three main shortcomings of existing approaches to counterfactual causality from the computer science perspective, and sketch lines of work to try and overcome these issues: (1) causality definitions should be driven by a set of precisely specified requirements rather than specific examples; (2) causality frameworks should support system dynamics; (3) causality analysis should have a well-understood behavior in presence of abstraction
In this paper we present a new proposal for defining actual causation, i.e., the problem of deciding...
Abstract. Counterfactual conditionals are used when reasoning about events which did not occur in th...
I develop an account of counterfactual conditionals using “causal models”, and argue that this accou...
International audienceIn this position paper we discuss three main shortcomings of existing approach...
Causal reasoning is central to scientific practice and to everyday life, yet has received scant atte...
This work explores the relations between causality and counterfactual implication and pro- poses a c...
International audienceThis article introduces a general framework for fault ascription, which consis...
In the artificial intelligence literature a promising approach to counterfactual reasoning is to int...
Using Jim Woodward's counterfactual dependency account of causality as an example, this paper argues...
This paper contributes to the debate on the virtues and vices of counterfactuals as a basis for caus...
A formal theory of causal reasoning is presented that encompasses both Pearl's approach to causality...
Concurrent systems identify systems, either software, hardware or even biological systems, that are ...
<p>A successful theory of causal reasoning should be able to account for inferences about counterfac...
This thesis represents a contribution to the study of causal and counterfactual reasoning. In six ex...
It is argued that an analysis of causation using counterfactual conditionals can be given. Causes an...
In this paper we present a new proposal for defining actual causation, i.e., the problem of deciding...
Abstract. Counterfactual conditionals are used when reasoning about events which did not occur in th...
I develop an account of counterfactual conditionals using “causal models”, and argue that this accou...
International audienceIn this position paper we discuss three main shortcomings of existing approach...
Causal reasoning is central to scientific practice and to everyday life, yet has received scant atte...
This work explores the relations between causality and counterfactual implication and pro- poses a c...
International audienceThis article introduces a general framework for fault ascription, which consis...
In the artificial intelligence literature a promising approach to counterfactual reasoning is to int...
Using Jim Woodward's counterfactual dependency account of causality as an example, this paper argues...
This paper contributes to the debate on the virtues and vices of counterfactuals as a basis for caus...
A formal theory of causal reasoning is presented that encompasses both Pearl's approach to causality...
Concurrent systems identify systems, either software, hardware or even biological systems, that are ...
<p>A successful theory of causal reasoning should be able to account for inferences about counterfac...
This thesis represents a contribution to the study of causal and counterfactual reasoning. In six ex...
It is argued that an analysis of causation using counterfactual conditionals can be given. Causes an...
In this paper we present a new proposal for defining actual causation, i.e., the problem of deciding...
Abstract. Counterfactual conditionals are used when reasoning about events which did not occur in th...
I develop an account of counterfactual conditionals using “causal models”, and argue that this accou...