Discussion
What does it mean for a heuristic to be consistent?
Answer: B
Consistency, or monotonicity, requires that the estimate at a node is at most the step cost plus the estimate at the successor, which is a triangle inequality. It implies admissibility and additionally guarantees that f never decreases along a path, so graph search with an explored set remains optimal. Depth uniformity and formula uniformity are unrelated, and correctness at goals is implied. A local condition that yields a global guarantee is the most useful kind.
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