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 ...

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 ...

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 ...

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, ...

Programs traditionally consist of a series of statements describing how to solve a problem. Declarative programs instead describe what problem to solve and what a solution would look like. The program ...