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Artificial Intelligence Practice Test: Informed Search Strategy
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Informed Search Strategies use some heuristic function to choose the node to ensure the most promising way to reach the goal. The most popular way to give the search problem more information about the problem is using heuristic functions. 

Artificial Intelligence Practice Test: Informed Search Strategy
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10 Questions

1. How many kinds of informed search methods are present in artificial intelligence?
2. Which of the following search algorithms practices only the linear space for searching purposes?
3. Which of the following search method will expand the node that is nearest to the goal?
4. Which of the following search algorithm is optimal and complete when h(n) is consistent?
5. Which of the following search uses the problem-specific knowledge outside the definition of the problem?
6. Which of the following is the heuristic function of greedy best-first search?
7. Which of the following is helpful to increase the performance of the heuristic search?
8. Which of the following function will select the lowest expansion node at first for evaluation?
9. Which of the following search method is helpful to find better by learning?
10. The informed search strategy is also called?

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