Constraint propagation is a fundamental technique in artificial intelligence and constraint satisfaction problems, where constraints are used to reduce the search space by iteratively narrowing the possible values of variables. This process enhances the efficiency of problem-solving by quickly eliminating infeasible solutions, thereby facilitating faster convergence to a valid solution or proving that no solution exists.