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Why is state space size so sensitive to the representation chosen?

  • A.The branching factor is fixed by the representation used
  • B.Irrelevant distinctions multiply the number of distinct states
  • C.Larger representations require more memory for each node
  • D.Some representations make the goal test more expensive

Answer: B

If a representation distinguishes states that behave identically, the space is multiplied by the number of irrelevant variations, and abstracting them away can reduce it by orders of magnitude. Node size, goal test cost and branching factor are affected too but are secondary. Asking what distinctions the problem actually requires, before choosing a representation, is the cheapest way to make a search feasible.

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