Abductive logic programming has been widely used to declaratively specify a variety of problems in AI including updates in data and knowledge bases, belief revision, diagnosis, causal theory, and default reasoning. One of the most signi cant issues in abductive logic programming is to develop a reasonable method for knowledge assimilation, which incorporates obtained explanations into the curre...

Concept drift refers to the phenomenon that distribution generating observed data changes over time. If is present, machine learning models can become inaccurate and need adjustment. While there do exist methods detect concept or adjust in presence of drift, question explaining i.e., describing potentially complex high dimensional change a human-understandable fashion, has hardly been considere...