Abstract
This paper proposes a two-step method to handle the dynamics of argumentation. Firstly, we reach the conflict-free labellings of the updated argumentation framework by the intersection of expansions of the conflict-free labellings of argumentation frameworks before updating. Then we select the conflict-free labellings which have the least illegally labelled arguments when restricted to part of both argumentation frameworks in the update process. Finally, we prove the soundness and completeness of our method under the complete semantics. In other words, the complete labellings of the resulted argumentation framework after update is the same as that of our method.
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This work was supported by the National Natural Science Foundation of China (No. 61762016).
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Jing, X., Luo, X. (2022). A Two-Step Method for Dynamics of Abstract Argumentation. In: Chen, J., Lang, J., Amato, C., Zhao, D. (eds) Distributed Artificial Intelligence. DAI 2021. Lecture Notes in Computer Science(), vol 13170. Springer, Cham. https://doi.org/10.1007/978-3-030-94662-3_15
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