This paper introduces a new approach for belief merging by using argumentation technique. The key idea is to organize each belief merging process as a game in which participating agents use argumentation technique to debate on their own belief bases to achieve consensus i.e. a common belief base. To this end, we introduce a framework for merging belief by argumentation in which an argumentation-based belief merging protocol is proposed and a set of intuitive and rational postulates to characterize the merging results is introduced. Several logical properties of the family of argumentation-based belief merging operators are also pointed out and discussed.
CITATION STYLE
Tran, T. H., Nguyen, T. H. K., Ha, Q. T., & Vu, N. T. (2016). Argumentation framework for merging stratified belief bases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9621, pp. 43–53). Springer Verlag. https://doi.org/10.1007/978-3-662-49381-6_5
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