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 ...

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, ...

Introduces the basic theory, operation and programming of programmable logic controllers; Demonstrates programming examples, set-up examples and troubleshooting, as well as PLC timing, counting, ...

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 ...