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 ...

We spend a lot of time thinking about the difficult people in our lives—the friend who can't take feedback, the partner who always has to be right, the coworker who turns everything into a fight. But ...

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 ...

The busy box that is your brain is hard at work all day long—and it doesn’t quit when you’re asleep. Not only does your brain fill your slumber with dreams, it also goes right on solving the problems ...

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

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

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...

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 ...