TY  - CONF
ID  - SisLab2890
UR  - https://doi.org/10.1007/978-3-319-54472-4_3
A1  - Nguyen, Thi Hong Khanh
A1  - Tran, Trong Hieu
A1  - Nguyen, Tran Van
A1  - Le, Thi Thanh Luu
Y1  - 2017///
N2  - Belief merging is one of active research fields with a large range of applications in Artificial Intelligence. Most of the work in this research field is in the centralized approach, however, it is difficult to apply to interactive systems such as multi-agent systems. In this paper, we introduce a new argumentation framework for belief merging. To this end, a constructive model to merge possiblistic belief bases built based on the famous general argumentation framework is proposed. An axiomatic model, including a set of rational and intuitive postulates to characterize the merging result is introduced and several logical properties are mentioned and discussed.
TI  - Merging Possibilistic Belief Bases by Argumentation
SP  - 24
AV  - public
EP  - 34
T2  - Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Proceedings, Part I
ER  -