Explanation: Best-first search is an instance of the general TREE-SEARCH or GRAPH-SEARCH algorithm in which a node is selected for expansion based on an evaluation function, f (n) . Traditionally, the node with the lowest evaluation is selected for expansion, because the evaluation measures distance to the goal. 6. Best-First search can be implemented using the following data structure.
A. Queue
B. Stack
C. Priority Queue
D. Circular Queue
Answer:A
Explanation: Best-first search is an instance of the general TREE-SEARCH or GRAPH-SEARCH algorithm in which a node is selected for expansion based on an evaluation function, f (n) . Traditionally, the node with the lowest evaluation is selected for expansion, because the evaluation measures distance to the goal. 6. Best-First search can be implemented using the following data structure.
A. Queue B. Stack C. Priority Queue D. Circular Queue
Explanation: Best-first search can be implemented within our general search framework via a priority queue, a data structure that will maintain the fringe in ascending order of f-values. 7. The name “best-first search” is a venerable but inaccurate one. After all, if we could really expand the best node first, it would not be a search at all; it would be a straight march to the goal. All we can do is choose the node that appears to be best according to the evaluation function. State whether true or false.