具有条件偏好的抽象论证

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Michael Bernreiter, Wolfgang Dvořák, Stefan Woltran
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引用次数: 0

摘要

在本文中,我们通过引入一种新的基于条件偏好的基于dung风格的论证框架(AFs)来研究抽象论证中的条件偏好。CPAF中的每个参数子集都可以与其自己的首选项关系相关联。这概括了在抽象论证中处理偏好的现有方法,并允许我们以一般的方式对条件偏好进行推理。我们对CPAFs进行了基于原理的分析,并将其与AFs的相关概括进行了比较。具体来说,我们强调了与Modgil的扩展AFs的异同,并表明我们的形式主义可以捕获基于价值的AFs。此外,我们表明,在某些情况下,引入条件偏好会导致计算复杂性的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abstract argumentation with conditional preferences
In this paper, we study conditional preferences in abstract argumentation by introducing a new generalization of Dung-style argumentation frameworks (AFs) called Conditional Preference-based AFs (CPAFs). Each subset of arguments in a CPAF can be associated with its own preference relation. This generalizes existing approaches for preference-handling in abstract argumentation, and allows us to reason about conditional preferences in a general way. We conduct a principle-based analysis of CPAFs and compare them to related generalizations of AFs. Specifically, we highlight similarities and differences to Modgil’s Extended AFs and show that our formalism can capture Value-based AFs. Moreover, we show that in some cases the introduction of conditional preferences leads to an increase in computational complexity.
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来源期刊
Argument & Computation
Argument & Computation COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
4.10
自引率
7.10%
发文量
8
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