What is constraint propagation in AI?
Constraint propagation is a technique used in AI to reduce the search space by enforcing constraints on variables.
Can you give me an example of how it works?
Sure! In a Sudoku puzzle, if a number is placed in one cell, constraint propagation helps eliminate that number from the possible options in the same row, column, and box.
What are the benefits of using constraint propagation?
It helps in solving problems more efficiently by narrowing down possibilities, which can lead to faster solutions.
Are there any limitations to constraint propagation?
Yes, it can be computationally expensive and may not always lead to a solution, especially in complex problems.
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