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 ...

When learning ladder logic, I was told that some new PLC systems were moving to scripted programming languages. My instructor assured us that we would not need to know anything other than ladder logic ...

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 ...