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 ...

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, ...

Figure 1: Molecular implementation of propositional logic statements and deductions. Using this system one can specify logic programs with facts and rules as well as various queries as a text file. A ...

Picat is a new logic-based programming language. In many ways, Picat is similar to Prolog, especially B-Prolog, but it has functions in addition to predicates, pattern-matching instead of unification ...

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 ...

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 ...

Truth diagrams (TDs) are introduced as a novel graphical representation for propositional logic (PL). To demonstrate their epistemic efficacy a set of 28 concepts are proposed that any comprehensive ...

At its core, programming is about moving data and playing with it. When you send login credentials to a web server, or when you get your profile picture loaded, that’s code sending data back and forth ...