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ASSUMPTION-BASED ARGUMENTATION EQUIPPED WITH PREFERENCES AND ITS APPLICATION TO DECISION MAKING, PRACTICAL REASONING, AND EPISTEMIC REASONING

机译:带有偏好的基于假设的论证及其在决策,实践推理和流行病推理中的应用

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摘要

The existing approaches that map the given explicit preferences into standard assumption-based argumentation frameworks (ABAs) reveal some difficulties such as generating a huge number of rules. To overcome them, we present an assumption-based argumentation framework equipped with preferences (p_ABA). It increases the expressive power of ABA by incorporating preferences between sentences into the framework. The semantics of p_ABA is given by P extensions, which are maximal among extensions of ABA with regard to the extension ordering "lifted" from the given sentence ordering. As a theoretical contribution of this study, we show that prioritized logic programming can be formulated as a specific form of p_ABA. The advantage of our approach is that not only does p_ABA enable us to express different kinds of preferences such as preferences over rules, over goals, or over decisions by means of sentence orderings but we can also successfully obtain solutions from P extensions of the p_ABA expressing the respective knowledge for various applications such as epistemic reasoning, practical reasoning, and decision making with preferences in a uniform and domain-independent way without suffering from difficulties of the existing approaches.
机译:将给定的显式偏好映射到基于标准假设的论证框架(ABA)的现有方法揭示了一些困难,例如生成大量规则。为了克服它们,我们提出了一个基于偏好的,具有偏好的论证框架(p_ABA)。通过将句子之间的偏好合并到框架中,可以提高ABA的表达能力。 p_ABA的语义由P扩展给出,对于从给定句子顺序“提升”的扩展顺序而言,这是ABA扩展中最大的。作为这项研究的理论贡献,我们证明了可以将优先逻辑程序设计为p_ABA的一种特定形式。我们的方法的优势在于,p_ABA不仅使我们能够表达不同种类的偏好,例如通过句子排序表达对规则,目标或决策的偏好,而且我们还可以成功地从p_ABA表达的P扩展中获得解决方案以统一和领域独立的方式,以各种应用(例如认知推理,实践推理和优先选择决策)获得各自的知识,而不会遭受现有方法的困难。

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