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 ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...

Capturing data signals during embedded system design can prove challenging. Modern logic analyzers make data acquisition tasks easier by providing advanced triggering capabilities that get to the root ...

Old habits die hard. But change is inevitable. And in this case, if proponents are right, change is on the way in the form of an open PLC programming standard known as IEC 61131-3. Promulgated by the ...