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 ...

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 ...

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, ...

This is a preview. Log in through your library . Abstract We conducted a computer-based psychological experiment in which a random mix of 40 tautologies and 40 non-tautologies were presented to the ...

In the first part of this paper, the concept of logical reduction is presented. Minimal preferred variable inequalities are introduced, and algorithms are given for their calculation. A simple ...

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 ...

REDWOOD CITY, CA--(Marketwired - Aug 1, 2017) - Sumo Logic, the leading cloud-native, machine data analytics platform delivering continuous intelligence, today announced the launch of the Sumo Logic ...

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 ...

Since 1972, scientists have known there are four basic circuit components, but if you’ve spent any time in an electrical engineering classroom, you probably only have experience with three: capacitor, ...