Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

The ever-growing use of technology in society makes it clear that computer programming may be a valuable skill. But how do our brains learn to code? Cultural skills, like reading and math, typically ...

Answer Set Programming (ASP) and Logic Programming represent key paradigms in contemporary computer science, particularly in the field of artificial intelligence. ASP is a form of declarative ...

In the article, the authors harness recent advances in incremental answer set solving for developing effective algorithms for reasoning tasks in the logic programming fragment of assumption-based ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Mathematical Background: We expect that the student is comfortable with basic mathematics at the level of a U.S. first-year college STEM student. This includes basic notions such as sets and functions ...