AI RESEARCH

Dsat: A Native SAT Solver for Discrete Logic

arXiv CS.AI

ArXi:2605.09347v1 Announce Type: new Discrete variables are common in many applications, such as probabilistic reasoning, planning and explainable AI. When symbolic reasoning techniques are brought in to bear on these applications, a standard technique for handling discrete variables is to binarize them into Boolean variables to allow the use of Boolean computational machinery such as SAT solvers. This technique can face both computational and semantical challenges though.