Discontinuity-Free Decision Support with Quantitative Argumentation Debates
Discontinuity-Free Decision Support with Quantitative Argumentation Debates
复制标题
具有定量论证辩论的无连续性决策支持
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
P. Baroni
中科院分区：
文献类型：
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作者：
Antonio Rago;Francesca Toni;M. Aurisicchio;P. Baroni
IBIS （Issue Based Information System，基于问题的信息系统）提供了一种被广泛采用的知识表示方法，尤其适用于表示复杂决策问题的挑战性任务。虽然有许多工具可用于IBIS图的可视化和协作开发，但在这种情况下的自动决策支持仍然不发达，尽管它将使几个应用程序受益。QuAD（定量论证辩论）框架是最近提出的一种基于ibis的形式主义，它包括自动化决策支持，通过一种算法来量化备选决策选项的强度，基于攻击和支持论点的强度的聚合。然而，最初提出的聚合方法可能会产生不连续。在本文中，我们提出了一种新的，不连续的算法来计算决策选项的强度在QuAD框架。我们证明了该算法具有几个理想的特性，并比较了两种聚合方法，表明两者都可能适用于不同的应用场景。
IBIS (Issue Based Information System) provides a widely adopted approach for knowledge representation especially suitable for the challenging task of representing wicked decision problems. While many tools for visualisation and collaborative development of IBIS graphs are available, automated decision support in this context is still underdeveloped, even though it would benefit several applications. QuAD (Quantitative Argumentation Debate) frameworks are a recently proposed IBIS-based formalism encompassing automated decision support by means of an algorithm for quantifying the strength of alternative decision options, based on aggregation of the strength of their attacking and supporting arguments. The initially proposed aggregation method, however, may give rise to discontinuities. In this paper we propose a novel, discontinuity-free algorithm for computing the strength of decision options in QuAD frameworks. We prove that this algorithm features several desirable properties and we compare the two aggregation methods, showing that both may be appropriate in the context of different application scenarios.
Quaestio-it.com：社交智能辩论平台
影响因子：
3.4
作者：
Evripidou V
通讯作者：
Evripidou V