Publication | Open Access
Yes, no, maybe, I don’t know: Complexity and application of abstract argumentation with incomplete knowledge
12
Citations
41
References
2021
Year
EngineeringArgumentation AnalysisRhetoricUncertain ReasoningSemanticsQualitative UncertaintyLanguage StudiesArgument Mining’ T KnowPlausible ReasoningAbstract ComplexityIncompletenessUncertainty (Knowledge Representation)Abstract Argumentation FrameworkComputer ScienceIncomplete KnowledgeArgumentation FrameworkArgumentationReasoningAbstract ArgumentationAutomated ReasoningEpistemologyLinguistics
Abstract argumentation, as originally defined by Dung, is a model that allows the description of certain information about arguments and relationships between them: in an abstract argumentation framework (AF), the agent knows for sure whether a given argument or attack exists. It means that the absence of an attack between two arguments can be interpreted as “we know that the first argument does not attack the second one”. But the question of uncertainty in abstract argumentation has received much attention in the last years. In this paper, we survey approaches that allow to express information like “There may (or may not) be an attack between these arguments”. We describe the main models that incorporate qualitative uncertainty (or ignorance) in abstract argumentation, as well as some applications of these models. We also highlight some open questions that deserve some attention in the future.
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