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Answer-Set Programs for Repair Updates and Counterfactual Interventions

arXiv 2209.12110 ↗First posted 25 Sep 2022cs.LO cs.AI cs.DBcited by 0

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Abstract (arXiv)

We briefly describe -- mainly through very simple examples -- different kinds of answer-set programs with annotations that have been proposed for specifying: database repairs and consistent query answering; secrecy view and query evaluation with them; counterfactual interventions for causality in databases; and counterfactual-based explanations in machine learning.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 25 references that are in the map. First posted on arXiv 25 Sep 2022.

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References · 6

  1. 2020Causality-based Explanation of Classification Outcomescited by 25
  2. 2020Declarative Approaches to Counterfactual Explanations for Classificationcited by 14
  3. 2014From Causes for Database Queries to Repairs and Model-Based Diagnosis and Backcited by 13
  4. 2021Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classificationcited by 9
  5. 2016Consistency and Trust in Peer Data Exchange Systemscited by 3
  6. 2021Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysiscited by 2

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