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Efficiently Estimating the Probability of Extensions in Abstract Argumentation.

, , and . SUM, volume 8078 of Lecture Notes in Computer Science, page 106-119. Springer, (2013)

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Exploiting Preference Rules for Querying Databases., , and . SEBD, page 405-413. (2007)Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity., , , and . AAAI, page 6175-6184. AAAI Press, (2021)Efficient Computation of Deterministic Extensions for Dynamic Abstract Argumentation Frameworks., and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1668-1669. IOS Press, (2016)Incremental Computation of Grounded Semantics for Dynamic Abstract Argumentation Frameworks., and . COREDEMA@ECAI, volume 10238 of Lecture Notes in Computer Science, page 66-81. (2016)Stable Semantics for Epistemic Abstract Argumentation Framework., , , and . Arg&App@KR, volume 3472 of CEUR Workshop Proceedings, page 11-25. CEUR-WS.org, (2023)On Weak Constrained Argumentation Frameworks., , , and . AI³@AI*IA, volume 3086 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Abstract Argumentation Framework with Priority Rules and Preferences., , , and . DP@AI*IA, volume 3419 of CEUR Workshop Proceedings, page 32-41. CEUR-WS.org, (2022)BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation., , , and . CoRR, (2020)Range-Consistent Answers of Aggregate Queries under Aggregate Constraints., , and . SUM, volume 6379 of Lecture Notes in Computer Science, page 163-176. Springer, (2010)A Framework for minimizing Xpath queries., , , and . SEBD, page 326-333. (2004)