Halpern & Pearl
PulseAugur coverage of Halpern & Pearl — every cluster mentioning Halpern & Pearl across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New research advances AI explainability and causal discovery methods
Researchers are developing advanced methods for causal discovery and inference in machine learning, aiming to improve the explainability and reliability of AI models. One paper proposes using Halpern-Pearl actual causes…
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New causality theory applied to fault trees for failure diagnostics
Researchers have developed a new method to analyze fault trees using actual causality theory, which can help answer why a system failure has occurred. This approach classifies different notions of actual causality based…
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New research explores advanced counterfactual explanation methods in AI
Two new research papers explore advanced methods for counterfactual explanations in AI. The first paper, from arXiv cs.AI, introduces an intervention-based framework for abstract argumentation that moves beyond the but-…