Neural network optimisation for logic satisfiability addresses the fundamental challenge of determining whether a given Boolean formula can be assigned truth values that make the formula true.

The Boolean satisfiability problem (SAT) asks whether a given logical formula can be made true by assigning values to its variables. As the canonical NP-complete decision problem, SAT underpins a vast ...

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This paper proposes a quantum algorithm for solving the tautology and the satisfiability problems for a Boolean formula. Let’s say we are given a Boolean formula. The variables of the Boolean formula ...

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Unified repository for Spectral Complexity Theory — papers, tools, datasets, and the visualization platform for analyzing problem solvability and logical structure.

Modern AI excels at pattern recognition but suffers when faced with logical reasoning tasks. What happens when we ask a neural network to solve a Sudoku puzzle from an image, verify a mathematical ...

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In January 2020, just eight months into her tenure as CEO of Best Buy, Corie Barry learned about a novel coronavirus spreading in China. By early March, Barry was getting reports that the virus was ...

Problem-solving therapy (PST) helps individuals manage stress by breaking down challenges into practical, manageable steps. The aim of the therapy is to help people cope more confidently with ...

Relying on stereotypes and obvious culture-clash jokes, the film imagines estranged relatives trying to put aside past differences. Before he goes, Kes wants to settle at least one war: the one raging ...