What are the limitations of constraint propagation in AI?
Constraint propagation is a powerful technique, but it has limitations such as computational complexity and scalability issues.
Can you explain the computational complexity aspect?
Sure! The computational complexity can increase exponentially with the number of variables and constraints, making it less efficient.
Are there specific scenarios where it fails?
Yes, it can struggle in highly interconnected problems or when constraints are too loose, leading to ambiguous solutions.
What alternatives exist to constraint propagation?
Alternatives include backtracking algorithms, local search methods, and hybrid approaches that combine different techniques.
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