Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Causes and Explanations: A Structural-Model Approach: Part 1: Causes
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Complexity results for structure-based causality
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Complexity results for structure-based causality
Artificial Intelligence
Complexity results for explanations in the structural-model approach
Artificial Intelligence
Causes and explanations in the structural-model approach: tractable cases
Artificial Intelligence
Causes and explanations in the structural-model approach: Tractable cases
Artificial Intelligence
A comprehensive study of visual event computing
Multimedia Tools and Applications
Causes and explanations in the structural-model approach
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Structure-based causes and explanations in the independent choice logic
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
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In this paper, we study the problem of determining actual causes of events in specific scenarios, based on a definition of actual cause proposed by Halpern and Pearl. To this end, we explore two different search-based approaches, enrich them with admissible pruning techniques and compare them experimentally. We also consider the task of designing algorithms for restricted forms of the problem.