Two Dimensional Uncertainty in Persuadee Modelling in Argumentation

Two Dimensional Uncertainty in Persuadee Modelling in Argumentation
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论证中说服者建模的二维不确定性

DOI:
10.3233/978-1-61499-672-9-150
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发表时间:
2016
期刊:
KI - Künstliche Intelligenz
影响因子:
--
通讯作者:
A. Hunter
A. Hunter
中科院分区:
--
文献类型:
--
作者:
A. Hunter

文献摘要

被引文献

相似文献

当试图说服代理人相信(或不相信)一个论点时,对说服者来说,拥有被说服者的模型可能是有利的。已经提出了考虑被说服者相信什么论点的模型,这些模型可以用于说服策略。然而,这些模型的准确性可能存在不确定性。为了解决这个问题,本文引入了一个二维模型,该模型解释了 说服者信念的不确定性,以及对不确定性评估的信心。这为使用彩票提供了更好的建模,因此结果包括关于用户相信/不相信什么的陈述,而置信值是用户确实持有这些结果的程度(这是一个比[19]中发现的更精细、更自然的建模)。这一框架还扩展了被劝说者脱离接触风险的模型。
When attempting to persuade an agent to believe (or disbelieve) an argument, it can be advantageous for the persuader to have a model of the persuadee. Models have been proposed for taking account of what arguments the persuadee believes and these can be used in a strategy for persuasion. However, there can be uncertainty as to the accuracy of such models. To address this issue, this paper introduces a two-dimensional model that accounts for the uncertainty of belief by a persuadee and for the confidence in that uncertainty evaluation. This gives a better modeling for using lotteries so that the outcomes involve statements about what the user believes/disbelieves, and the confidence value is the degree to which the user does indeed hold those outcomes (and this is a more refined and more natural modeling than found in [19]). This framework is also extended with a modelling of the risk of disengagement by the persuadee.