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Why does A star graph search need consistency rather than mere admissibility?

  • A.The explored set requires the heuristic to be monotonic to be stored
  • B.Graph search expands nodes in a different order from tree search
  • C.A state may be reached again by a cheaper path after being expanded
  • D.Admissible heuristics cannot be computed for graph problems

Answer: C

With an explored set, once a state has been expanded it is never reconsidered, so if a cheaper route to it is found later the optimal solution can be missed unless consistency guarantees the first expansion was already cheapest. Reopening closed nodes is the alternative repair. Computability, storage and expansion order are not the issue. A guarantee that holds for one variant of an algorithm and not another is exactly the kind of detail that determines correctness in practice.

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