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 ...

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 ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. IN THE SUMMER of 1956, a small group of computer science pioneers ...

Instructions in a program arranged in a prescribed order to solve a problem. Give a requirement to several programmers, each is likely to create different program logic. As long as the program works, ...

Temporal logic provides a formal language with which one can express time-dependent behaviours, facilitating rigorous reasoning about the sequential evolution of system states. This branch of ...