论文标题
基于ASP的反事实解释的方法
An ASP-Based Approach to Counterfactual Explanations for Classification
论文作者
论文摘要
我们提出的答案集程序指定和计算反事实干预措施，以此作为基于因果关系的分类模型决策的解释的基础。它们可以使用可以指定为逻辑程序的黑框模型和模型，例如基于规则的分类器。最大责任因果解释的规范和计算的主要重点。研究了其他语义知识的使用。
We propose answer-set programs that specify and compute counterfactual interventions as a basis for causality-based explanations to decisions produced by classification models. They can be applied with black-box models and models that can be specified as logic programs, such as rule-based classifiers. The main focus in on the specification and computation of maximum responsibility causal explanations. The use of additional semantic knowledge is investigated.
