Satisfiability Problem

The satisfiability problem (SAT) focuses on determining whether a Boolean formula has a solution, a fundamental problem with broad applications in computer science and artificial intelligence. Current research emphasizes improving the efficiency of SAT solvers, particularly through the development of novel algorithms like those based on graph neural networks, and exploring the use of machine learning techniques for prediction and data augmentation to enhance solver performance. The ongoing advancements in SAT solving have significant implications for various fields, including automated reasoning, software verification, and optimization problems across diverse domains.