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Broadening Label-Based Argumentation Semantics with May-Must Scales

机译:用五月尺度扩展基于标签的论证语义

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The semantics as to which set of arguments in a given argumentation graph may be acceptable (acceptability semantics) can be characterised in a few different ways. Among them, the labelling-based approach allows for a concise and flexible determination of acceptability statuses of arguments through assignment of a label indicating acceptance, rejection, or undecided to each argument. In this work, we contemplate a way of broadening it by accommodating may- and must- conditions for an argument to be accepted and rejected, as determined by the number(s) of rejected and accepted attacking arguments. We show that the broadened label-based semantics can be used to express more mild indeterminacy than inconsistency for acceptability judgement when, for example, it may be the case that an argument is accepted and when it may also be the case that it is rejected. We identify that finding which conditions a labelling satisfies for every argument can be an undecid-able problem, which has an unfavourable implication to semantics. We propose to address this problem by enforcing a labelling to maximally respect the conditions, while keeping the rest that would necessarily cause non-termination labelled undecided.
机译:关于给定自变量图中的哪一组自变量可以接受的语义(可接受语义)可以用几种不同的方式来表征。其中,基于标签的方法允许通过分配标签来指示对每个参数的接受,拒绝或未确定,从而简明而灵活地确定参数的可接受性状态。在这项工作中,我们考虑了一种通过适应可能和必须满足的条件来扩大和扩大讨论范围的方法,该条件由被拒绝和被接受的攻击性论证的数量决定。我们证明,当例如可能是某个论点被接受而又可能是它被拒绝时,加宽的基于标签的语义可以用来表达比不一致的更温和的不确定性。我们发现,找到标签满足每个参数的条件可能是无法确定的问题,这对语义有不利的影响。我们建议通过强制使用标签以最大程度地尊重条件来解决此问题,同时保留其他可能导致未终止的未确定标签。

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