What are constraint propagation techniques in AI?
Constraint propagation techniques are methods used in AI to reduce the search space by enforcing constraints among variables.
Can you give me an example of how constraint propagation 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 some common algorithms that use constraint propagation?
Common algorithms include Arc Consistency, Forward Checking, and Constraint Satisfaction Problems (CSP) solvers.
How does constraint propagation improve problem-solving efficiency?
It narrows down the possibilities early in the search process, reducing the number of potential solutions to explore.
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