Applications of circumscription to formalizing common-sense knowledge
Artificial Intelligence
Solving the frame problem: a mathematical investigation of the common sense law of inertia
Solving the frame problem: a mathematical investigation of the common sense law of inertia
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Causes and Explanations: A Structural-Model Approach: Part 1: Causes
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Predicting causality ascriptions from background knowledge: model and experimental validation
International Journal of Approximate Reasoning
Ontology-based inference for causal explanation
Integrated Computer-Aided Engineering
Deriving explanations from causal information
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Journal of Artificial Intelligence Research
Ontology-based inference for causal explanation
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Qualitative and quantitative conditions for the transitivity of perceived causation
Annals of Mathematics and Artificial Intelligence
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Recently I suggested that a cause is an event which, in its context of occurrence, is both necessary and sufficient for the effect. However this definition is only appropriate if there is a single potential cause of the effect. Consequently I suggest a generalization of the definition and discuss the resulting “Production Theory”. I suggest that this can be seen as a combination of a regularity theory in the Hume tradition and a dependence theory in the Lewis tradition, and argue that the Production Theory inherits the strengths of the component theories while avoiding their weaknesses.