R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. A* Search Algorithm _____ (A) does not expand the node which have the lowest value of f(n), (B) finds the shortest path through the search space using the heuristic function i.e f(n)=g(n) + h(n) (C) terminates when the goal node is not found (D) all of the above ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (B) finds the shortest path through the search space using the heuristic function i.e f(n)=g(n) + h(n)
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. Which property asks that the algorithm is locally admissible? (A) admissibility (B) monotonicity (C) informedness (D) none of the above ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (B) monotonicity
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. ____________________requires Linear Space but uses backtracking (A) breadth first search (B) recursive best first search (rbfs) (C) a* (D) ida* ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (B) recursive best first search (rbfs)
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. What is true about variable neighborhood function? (A) neighbourhood functions that are sparse lead to quicker movement during search (B) algorithm has to inspect very fewer neighbours (C) vdn stars searching with sparse neighbourhood functions, when it reaches an optimum, it switches to denser function. (D) all of the above ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (D) all of the above
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. What is the termination criteria in Hill climbing? (A) when no successor of the node has better heuristic value. (B) when successor of the node has better heuristic value. (C) when no ancestor of the node has better heuristic value. (D) when ancestor of the node has better heuristic value. ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (A) when no successor of the node has better heuristic value.
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. The efficiency of A* algorithm depends on _____________ (A) depth (B) the quality of heuristic (C) unknown nodes (D) none of the above ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (B) the quality of heuristic
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. Admissibility of the heuristic function is given as (A) h(n)>= h*(n) (B) h(n)< h*(n) (C) h(n)== h*(n) (D) h(n)<= h*(n) ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (D) h(n)<= h*(n)
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. Which search strategy is combining the benefits of both BFS and DFS? (A) depth limited search (B) iterative deepening depth first search (C) best first search (D) none ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (B) iterative deepening depth first search
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. If there is a solution, breadth first search is _______________to find it (A) difficult (B) guaranteed (C) not able to find (D) none of the above ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (B) guaranteed
R Ruchi Sharma π Tutor III β 9.87K Points π Artificial Intelligence and Robotics (AIR) Q. Which of the following are Informed search algorithms? (A) best first search (B) a* search (C) iterative deeping search (D) both a & b ποΈ Show Answer π¬ Discuss π Share β‘Menu β Correct Answer: (D) both a & b