Persuasion Dialogues via Restricted Interfaces Using Probabilistic Argumentation

被引：9
|
作者：
Hunter, Anthony [1 ]
机构：
[1] UCL, Dept Comp Sci, Gower St, London WC1E 6BT, England
来源：
SCALABLE UNCERTAINTY MANAGEMENT, SUM 2016 | 2016年 / 9858卷
基金：
英国工程与自然科学研究理事会;
关键词：
D O I：
10.1007/978-3-319-45856-4_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For persuasion dialogues between a software system and user, a user should be able to present arguments. Unfortunately, this would involve natural language processing which is not viable for this task in the short-term. A compromise is to allow the system to present potential counterarguments to the user, and the user expresses his/her degree of belief in each of them. In this paper, we present a protocol for persuasion that supports this type of move, and show how the system can use the epistemic approach to probabilistic argumentation to model the user, and thereby optimize the choice of moves.
引用
收藏
页码：184 / 198
页数：15
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