An argumentation framework based on conditional priorities

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Abstract

We propose a framework to allow an agent to cope with inconsistent beliefs and to handle conflicting inferences. Our approach is based on a well-established line of research on assumption-based argumentation frameworks and defeasible reasoning. We propose a language to allow defeasible assumptions and context-sensitive priorities to be explicitly expressed and reasoned about by the agent. Our work reveals some interesting problems to conditional priority-based argumentation and establishes the fundamental properties of these frameworks. We also establish a sufficient condition for a conditional priority-based argumentation to have a unique stable extension based on the notion of stratification. © 2008 Springer Berlin Heidelberg.

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APA

Vo, Q. B. (2008). An argumentation framework based on conditional priorities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5351 LNAI, pp. 497–508). https://doi.org/10.1007/978-3-540-89197-0_46

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