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Fuan Pu

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3 papers

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EUMAS Conference 2016 Conference Paper

Boolean Matrix Approach for Abstract Argumentation

Fuan Pu
Guiming Luo
Yucheng Chen 0002

Abstract In this paper, we propose a Boolean matrix approach to encode Dung’s acceptability semantics. Each semantics is encoded into one or more Boolean constraint models, which can be solved by Boolean constraint solvers. In addition, based on our Boolean matrix representations, we also propose a bit-vector-based approach to compute the grounded semantics, and the experimental results show that this approach can achieve a good performance.

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AAAI Conference 2016 Conference Paper

Counter-Transitivity in Argument Ranking Semantics

Fuan Pu
Jian Luo
Guiming Luo

The principle of counter-transitivity plays a vital role in argumentation. It states that an argument is strong when its attackers are weak, but weak when its attackers are strong. In this work, we develop a formal theory about the argument ranking semantics based on this principle. Three approaches, i. e. , quantity-based, quality-based and the unity of them, are de- ﬁned to implement the principle. Then, we show an iterative reﬁnement algorithm for capturing the ranking on arguments based on the recursive nature of the principle.

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AAAI Conference 2014 Conference Paper

Computing Preferences Based on Agents’ Beliefs

Jian Luo
Fuan Pu
Yulai Zhang
Guiming Luo

The knowledgebase uncertainty and the argument preferences are considered in this paper. The uncertainty is captured by weighted satisfiability degree, while a preference relation over arguments is derived by the beliefs of an agent.

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