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, ...

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 ...

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 ...

For PLC programming, U.S control engineers and technicians turn typically to ladder logic, a programming technique that’s been around since the birth of programmable logic controllers, or PLCs, in the ...

The debate between programming languages revolves around the necessity of sticking to ladder logic for ease of troubleshooting versus adopting higher-level languages for enhanced functionality and ...

The Journal of the Operational Research Society, Vol. 50, No. 6 (Jun., 1999), pp. 581-595 (15 pages) This paper is aimed at researchers and practitioners in ...