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 ...

A new formalism for predicate logic is introduced, with a non-standard method of binding variables, which allows a compositional formalization of certain anaphoric constructions, including 'donkey ...

In part one of this series, we looked at the PLC’s internal architecture, briefly discussed Ladder Logic programming, Human-Machine Interfaces, advantages of the PLC’s ability to react consistently ...