论证系统中的还原与专一性

Claudio A. Alessio
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引用次数: 0

摘要

还原是论证系统的一个原则,当所有的反对者最终都被击败时,它使一个失败的论点得到证明。在文献中提供了一些反例恢复。具体来说,反例表明,复原不能作为可推翻论证的一般原则,因为复原的论证可能支持不正确的结论。一些作者认为,问题不在于恢复,而在于这些例子的形式化。然后,解决方案是使语言具有足够的表现力以获得正确的结果。他们还警告说,应该避免仅仅为了获得期望的结果而在具体示例中修改形式化。因此,这种方法应该与寻找选择适当形式化的一般原则相结合。考虑到寻找表征的一般原则可能是一项艰巨的任务,本文的目标是确定一些标准,允许i.中和反例;尽可能地保留原来的形式语言;维持复职的一般原则。为了确定该标准,分析了反例,并检测了问题的可能原因。结果发现,参数之间的特异性偏好可以用来获得该标准。提出并评估了三种基于特异性的方法。其中两个引入了论据之间的替代失败关系。第三种方法是基于过滤非最大特定参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reinstatement and Specificty in Argumentation Systems
Reinstatement is a principle of argumentation systems that enables the justification of a defeated argument when all its defeaters are in turn ultimately defeated. Some counterexamples to reinstatement have been offered in the literature. Specifically, counterexamples suggest that reinstatement cannot be taken as a general principle of defeasible argumentation because the reinstated arguments may support incorrect conclusions. Some authors argued that the problems are not due to reinstatement but to the formalization of those examples. Then, the solution is to make the language expressive enough to obtain the correct results. They also warn that one should avoid tinkering with the formalization in concrete examples just to get a desired outcome. Therefore, this approach should be combined with the search of general principles for choosing the proper formalization. Taking into account that finding general principles of representation could be a hard enterprise, the goal of this thesis is to identify some criterion that allows i. neutralize the counterexamples, ii. preserve the original formal language as much as possible, and iii. maintain reinstatement as a general principle. To identify that criterion, counterexamples are analyzed and possible causes of the problem are detected. As a result it is found that the preference by specificity among arguments can be used to obtain that criterion. Three approaches based on specificity are proposed and evaluated. Two of them introduce alternative defeat relations among arguments. The third one is based on filtering the non maximally specific arguments.
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