Boolean Satisfiability Problem

The Boolean Satisfiability Problem (SAT) is a fundamental problem in computer science and artificial intelligence that involves determining whether a given Boolean formula can be satisfied by assigning Boolean values to its variables. In other words, it asks whether there exists an assignment of true or false values to the variables that makes the entire formula true. SAT is a decision problem that is NP-complete, meaning that it is computationally difficult to solve for large instances. However, it has important applications in many areas, including automated reasoning, circuit design, software verification, and artificial intelligence.
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