通过最小模型定义新的基于参数的语义

2006 Seventh Mexican International Conference on Computer Science Pub Date : 2006-09-18 DOI:10.1109/ENC.2006.10

J. Nieves, U. Cortés, Mauricio Osorio, Iván Olmos, Jesus A. Gonzalez

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引用次数: 15

摘要

Dung的论证方法是一种统一的方法，在论证研究和人工智能(AT)方面发挥了重要作用。基于Dung的论证方法和最小模型的适当表示，我们引入了一种新的论证语义，称为首选+语义，它遵循了首选语义的哲学。此外，我们还展示了如何使用最近引入的名为SI-COBRA的软件工具推断preferred+语义

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Defining new argumentation-based semantics by minimal models

Dung's argumentation approach is a unifying approach which has played an influential role on argumentation research and artificial intelligence (AT). Based on a proper representation of Dung's argumentation approach and minimal models, we introduce a novel argumentation semantics called preferred+ semantics which follows the preferred semantics' philosophy. Also, we show how to infer preferred+ semantics using a software tool called SI-COBRA that was introduced recently

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2006 Seventh Mexican International Conference on Computer Science

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