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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)
Which is
(b: the branching factor; d: the depth of the shallowest solution)
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.
Which is NOT one of the ways to avoid repeated states in search?
Which is NOT true about the uniform cost search?
Which of the following is NOT true about uninformed search?
Which of the following is NOT true about the breadth-first search?
Which is NOT a true statement?
Which search algorithm is neither complete nor optimal?
What approach to AI does our textbook take?