The correct answer is False. Constraint propagation is a technique used in constraint satisfaction problems (CSPs) to reduce the search space by removing values that cannot be assigned to variables. It does not modify the CSP problem itself, but rather the set of possible solutions.
Constraint propagation works by iteratively checking the constraints between variables and removing values that cannot be assigned to variables without violating any constraints. For example, if the constraints are “x must be greater than 0” and “y must be less than 10”, then the value 5 cannot be assigned to x, because it would violate the first constraint.
Constraint propagation can be used to prune the search space very effectively, and it is often used in conjunction with other search algorithms, such as backtracking.