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For that, we consider Pearl\u2019s causal models where causal relations are modelled via structural equations and a probability distribution over background atoms. The probability that some causal statement holds is then computed by constructing a probabilistic argumentation framework and determining its extensions. This framework can then be used to generate argumentative explanations for the (non-)acceptance of the causal statement. Furthermore, we present an argumentation-based version of the twin network method for dealing with counterfactuals. Finally, we show that our approach yields the same results for causal and counterfactual queries as Pearl\u2019s model.<\/jats:p>","DOI":"10.1007\/978-3-031-63536-6_13","type":"book-chapter","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T05:01:50Z","timestamp":1721106110000},"page":"221-236","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Argumentation-Based Probabilistic Causal Reasoning"],"prefix":"10.1007","author":[{"given":"Lars","family":"Bengel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lydia","family":"Bl\u00fcmel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tjitze","family":"Rienstra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Thimm","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,17]]},"reference":[{"key":"13_CR1","unstructured":"Bengel, L., Bl\u00fcmel, L., Rienstra, T., Thimm, M.: Argumentation-based causal and counterfactual reasoning. 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