Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence-Reference-Cited by-同舟云学术

Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence

Published:2023 Issue: Volume: Page:1-23
ISSN:0302-9743
Container-title:Reasoning Web. Causality, Explanations and Declarative Knowledge
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Author:

Bertossi Leopoldo

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-31414-8_1

Reference65 articles.

1. Antoine Amarilli, A., Capelli, F., Monet, M., Senellart, P.: Connecting knowledge compilation classes width parameters. Theory Comput. Syst. 64, 861–914 (2020)

2. Arenas, M., Barcelo, P., Bertossi, L., Monet, M.: The tractability of SHAP-scores over deterministic and decomposable boolean circuits. In: Proceedings of AAAI (2021)

3. Arenas, M., Barcelo, P., Bertossi, L., Monet, M.: The tractability of SHAP-scores over deterministic and decomposable boolean circuits. Extended version of AAAI 2021 paper. arXiv:2104.08015 (2021)

4. Arenas, M., Pablo Barcelo, P., Romero, M., Subercaseaux, B.: On computing probabilistic explanations for decision trees. In: Proceedings of NeurIPS (2022)

5. Baral, C., Gelfond, M., Rushton, N.: Probabilistic reasoning with answer sets. Theory Pract. Logic Program. 9(1), 57–144 (2009)

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