CDCL stands for Conflict-Driven Clause Learning, a technique used in Boolean satisfiability solvers (SAT solvers). It enhances the efficiency of solving complex logical problems by learning from conflicts that arise during the search process. When a contradiction is detected, CDCL analyzes the situation to derive new clauses that prevent the same conflict from occurring again. This method allows solvers to prune the search space significantly, making them faster and more effective. CDCL is widely used in various applications, including hardware verification, software testing, and artificial intelligence, where solving logical problems quickly is crucial.