An ASP-Based Approach to Counterfactual Explanations for Classification

• URL: http://arxiv.org/abs/2004.13237v2
• Date: Tue, 16 Jun 2020 03:56:13 GMT
• Title: An ASP-Based Approach to Counterfactual Explanations for Classification
• Authors: Leopoldo Bertossi
• Abstract summary: 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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