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

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Abstract: The Boolean formula satisfiability problem (SAT) plays a fundamental role in many practical applications, but is computationally challenging due to its NP-hard nature. Leveraging cloud ...

In the realm of data management, Excel stands out as a powerful tool, offering various functionalities to enhance efficiency and accuracy. Among these features, Boolean logic plays a critical role in ...

Abstract: In this paper are given two novel algorithms for minimization of recursive Boolean formula (RBF), which is adequate for implementation of N-input 1-output Boolean functions (BFs) over basis ...

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 ...

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 ...

The propositional satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to ...

The Boolean search comprises a specific group of search operators that relate to the logic inherent in the words And, Or, and Not. Although they are three simple words, their effect on search results ...