QBF Encoding

QBF encoding focuses on efficiently representing and solving complex decision problems, particularly those involving two-player games, by translating them into quantified Boolean formulas. Current research emphasizes developing concise encodings, often employing symbolic representations of game states and implicitly defining winning conditions to improve solver performance and scalability for larger games like Hex and Connect-4. This work is significant because efficient QBF encodings enable the analysis of complex strategic interactions in various domains, offering a powerful tool for game theory, artificial intelligence, and verification tasks.