Abstract: Several algorithms are presented, more or less directly related to the "minimization" theory of Boolean formulas. They give solutions to the following specific problems: computation of the ...

Quantified Boolean formulas (QBFs) extend propositional logic by interleaving existential and universal quantifiers over Boolean variables, providing a natural framework for expressing problems in ...

In Excel, Boolean logic (a fancy name for a simple condition that’s either true or false) is one way to sift specific data or results from a large spreadsheet. Granted, there are other ways to search ...

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. But its growth does not come without irony. While AI exists to ...

Computing circuits composed of noisy logical gates and their ability to represent arbitrary boolean functions with a given level of error are investigated within a ...

Weighted Model counting (WMC) is a fundamental problem in computer science with a wide variety of applications in practice, ranging from neural network verification to network reliability. The current ...

Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver to solve the ...

Accepts formulas in an (almost) SMT-LIBv2 format, see full details below. Tested and compared against Z3 over more than four million random formulas. Surprisingly, it is quite faster than Z3 on short ...

Markers is a parser for boolean formulas. You can provide it an expression like a and not (b or c) as well as variable assignments like a = true, b = false, c = true and Markers will evaluate true and ...