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CMPT 380 A - Artificial Intelligence (FA 2025)

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What search strategy is described by the following?

It overcomes the disadvantages of the depth-limited strategy. It tries all possible depth limits (first 0 then 1, 2, and so on).

It is complete and optimal.

Time complexity: O(bd)

Space complexity: O(bd)

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Which of the following is NOT true about uninformed search?

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Which of the following uninformed search strategies (algorithms) has the following measurements of its performance?

  • It is optimal.
  • It is complete.
  • It has reasonable time and space complexities (particularly, O(bd) for its space complexity) where b: branching factor and d: the depth of the shallowest goal node.

This strategy (algorithm) is suitable for problems with a large search space and the unknown depth of the solution. 

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Which of the following is NOT true about the breadth-first search?

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Which is NOT true about the uniform cost search?

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Which

is

NOT true about the Iterative Deepening search?

(b: the branching factor; d: the

depth of the shallowest solution)

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Which is NOT one of the ways to avoid repeated states in search?

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Which is NOT a true statement?

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Which search algorithm is neither complete nor optimal?

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What approach to AI does our textbook take?

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