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A tutorial on assumption-based argumentation

机译:基于假设的论证教程

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We give an introductory tutorial to assumption-based argumentation (referred to as ABA) - a form of argumentation where arguments and attacks are notions derived from primitive notions of rules in a deductive system, assumptions and contraries thereof. ABA is equipped with different semantics for determining 'winning' sets of assumptions and - interchangeably and equivalently - 'winning' sets of arguments. It is also equipped with a catalogue of computational techniques to determine whether given conclusions can be supported by a 'winning' set of arguments. These are in the form of disputes between (fictional) proponent and opponent players, provably correct w.r.t. the semantics. Albeit simple, ABA is powerful in that it can be used to represent and reason with a number of problems in AI and beyond: non-monotonic reasoning, preferences, decisions. While doing so, it encompasses the expressive and computational needs of these problems while affording the transparency and explanatory power of argumentation.
机译:我们为基于假设的论证(称为ABA)提供一种入门教程,这是一种论证形式,其中论据和攻击是从演绎系统中规则的原始概念,假设和矛盾推导而来的概念。 ABA配备了不同的语义来确定“获胜”的假设集,以及-可以互换地等效地确定“获胜”的论点集。它还配备了计算技术目录,以确定给定的结论是否可以由一组“获胜”的论点支持。这些是(虚构的)支持者和反对者之间发生争执的形式,事实证明是正确的。语义。尽管很简单,但ABA的功能强大,因为它可用于表示和推理AI以及其他方面的许多问题:非单调推理,偏好和决策。在这样做的同时,它涵盖了这些问题的表达和计算需求,同时提供了论证的透明性和解释力。

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