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M

Madhu • 12.02K Points
Tutor II 

Q. 71) 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
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M

Madhu • 12.02K Points
Tutor II 

Q. 72) ______________requires Linear Space but uses backtracking

(A) breadth first search
(B) recursive best first search (rbfs)
(C) a*
(D) ida*
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M

Madhu • 12.02K Points
Tutor II 

Q. 73) Which property asks that the algorithm is locally admissible?

(A) admissibility
(B) monotonicity
(C) informedness
(D) none of the above
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M

Madhu • 12.02K Points
Tutor II 

Q. 74) 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
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M

Madhu • 12.02K Points
Tutor II 

Q. 75) What is used to lable primitive problems in AO problem?

(A) unvisited
(B) unsolved
(C) solved
(D) visited
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M

Madhu • 12.02K Points
Tutor II 

Q. 76) What is the heuristic cost of SOLVED nodes in AO* example?

(A) 0
(B) 1
(C) 2
(D) 3
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M

Madhu • 12.02K Points
Tutor II 

Q. 77) What cost is assumed for arc while solving AO* progress example?

(A) 0
(B) 1
(C) 2
(D) 3
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M

Madhu • 12.02K Points
Tutor II 

Q. 78) What is Hyper-Edge in AO Graph?

(A) many edges together can be hyber edge
(B) those are and edges only
(C) both 1 and 2
(D) none of the above
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M

Madhu • 12.02K Points
Tutor II 

Q. 79) Which are the first AI applications of AO graph?

(A) saint
(B) xcon
(C) dendral
(D) both a and c
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M

Madhu • 12.02K Points
Tutor II 

Q. 80) What arcs represents in AO Graph?

(A) subproblem to be solved individually
(B) solution
(C) path
(D) sequence of actions
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