Extended version of the paper with the same name published in the main track of IJCAI 2018. It countains additionally a treatment of credulous and weak skeptical semantics
We study properties related to relevance in non-monotonic consequence relations obtained by systems of structured argumentation. Relevance desiderata concern the robustness of a consequence relation under the addition of irrelevant information. For an account of what (ir)relevance amounts to we use syntactic and semantic considerations. Syntactic criteria have been proposed in the domain of relevance logic and were recently used in argumentation theory under the names of non-interference and crash-resistance. The basic idea is that the conclusions of a given argumentative theory should be robust under adding information that shares no propositional variables with the original database. Some semantic relevance criteria are known from non-monotonic logic. For instance, cautious monotony states that if we obtain certain conclusions from an argumentation theory, we may expect to still obtain the same conclusions if we add some of them to the given database. In this paper we investigate properties of structured argumentation systems that warrant relevance desiderata.
Relevance for Stability of Verification Status of a Set of Arguments in Incomplete Argumentation Frameworks (with Proofs)
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences(数学科学国家重点实验室,数学与系统科学研究院,中国科学院);University of Chinese Academy of Sciences(中国科学院大学)
我们扩展了结构化论证的$ASPIC^+$框架,以便允许应用的情况下,推理方案的可废止的参数。给定一个带有结论“$A$ or $B$”的论证,一个基于$A$带有结论$C$的论证,以及一个基于$B$带有结论$C$的论证,我们允许构造一个带有结论$C$的论证。我们展示了我们的框架如何导致不同的结果比其他方法在非单调逻辑处理析取信息,如析取默认理论或方法的基础上的OR规则(允许导出一个可废止的规则“如果($A$或$B$),然后$C$”,给出两个可废止的规则“如果$A$,然后$C$”和“如果$B$,然后$C$”)。我们提出了新的问题,推理的微妙之处defeably与析取信息,并表明其形式化是更复杂的比一个人会假设。
PHAX: A Structured Argumentation Framework for User-Centered Explainable AI in Public Health and Biomedical Sciences
Center for Artificial Intelligence in Public Health Research (ZKI-PH), Robert Koch-Institut, Nordufer 20, Berlin, 13353, Germany(公共健康人工智能研究中心(ZKI-PH)、罗伯特· Koch研究所);Department of Mathematics and Computer Science, Freie Universität Berlin, Arnimallee 14, Berlin, 14195, Germany(数学与计算机科学系、柏林自由大学)
An Approach to Characterize Graded Entailment of Arguments through a Label-based Framework
Universidad Nacional del Sur (UNS)(南方国立大学);Instituto de Ciencias e Ing. de la Computación (ICIC UNS–CONICET)(计算机科学与工程研究所(ICIC UNS-阿根廷国家科学与技术研究理事会));Universidad Nacional de Santiago del Estero(圣地亚哥-德尔埃斯特罗国立大学)
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
Faculty of Information Technology, Monash University, Australia(墨尔本大学信息技术学院,澳大利亚);School of Information Technology, Monash University Malaysia(墨尔本大学马来西亚分校信息学院);School of Business, Monash University Malaysia(墨尔本大学马来西亚分校商学院);Faculty of Law, Monash University, Australia(墨尔本大学法学院,澳大利亚)