Published in Journal of Logic and Computation, 2026
Recommended citation: Xiaolong Liu, Weiwei Chen, Sylvie Doutre. "Argumentation Semantics Based on Solid Admissibility and Preservation of Semantic Properties, accepted by the Journal of Logic and Computation." Journal of Logic and Computation, Forthcoming.
Published in Lecture Notes in Artificial Intelligence, 2025
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Recommended citation: Xiaolong Liu and Weiwei Chen. " Proportional Acceptability of Arguments." In Proceedings of 6th International Conference on Logic and Argumentation (CLAR 2025). Springer, 2025.
Published in Frontiers in Artificial Intelligence and Applications, 2024
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Recommended citation: Xiaolong Liu and Weiwei Chen. "On the Proportional Acceptability of Arguments in Abstract Argumentation." In Proceedings of 10th International Conference on Computational Models of Argument (COMMA 2024). IOS Press, 2024.
Published in International Journal of Approximate Reasoning, 2023
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Recommended citation: Xiaolong Liu, Philippe Besnard, Sylvie Doutre. "Paraconsistent Inference Relations Induced from Inconsistency Measures." International Journal of Approximate Reasoning, 152, pp. 183-197, 2023.
Published in Lecture Notes in Computer Science (LNCS), 2021
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Recommended citation: Xiaolong Liu, Philippe Besnard, Sylvie Doutre, "Inducing Inference Relations from Inconsistency Measures," in Proceedings of 16th European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2021), in: LNCS, volume 12897, pp. 486--498, Springer, 2021.
Published in Lecture Notes in Computer Science (LNCS), 2021
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Recommended citation: Xiaolong Liu and Weiwei Chen, "Solid Semantics for Abstract Argumentation Frameworks and the Preservation of Solid Semantic Properties," in Proceedings of 18th European Conference on Multi-Agent Systems (EUMAS 2021), in: LNCS, volume 12802, pp. 178--193, Springer, 2021.
Published in Proceedings of AAMAS, 2021
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Recommended citation: Xiaolong Liu and Weiwei Chen, "Solid Semantics and Extension Aggregation Using Quota Rules under Integrity Constraints," in Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021), pp. 1590–1592, 2021.