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Artificial Intelligence - Quiz(MCQ)
A)
O(b)
B)
O(bm)
C)
O(m)
D)
O(bl)

Correct Answer : Option (B) :   O(bm)


Explanation : O(bm) is the space complexity where b is the branching factor and m is the maximum depth of the search tree.

A)
Model based agent
B)
Intelligent goal-based agent
C)
Simple reflex agent
D)
Problem-solving agent

Correct Answer : Option (B) :   Intelligent goal-based agent

A)
A set of Rule
B)
A sequence of steps
C)
Arbitrary representation to problem
D)
Set of Rule & sequence of steps

Correct Answer : Option (D) :   Set of Rule & sequence of steps


Explanation : When you are trying to solve a problem, you should design how to get a step-by-step solution with constraints condition to your problem, e.g Chess board problem.

A)
Linear approach
B)
Random approach
C)
An Optimal approach
D)
Heuristic approach (Some knowledge is stored)

Correct Answer : Option (D) :   Heuristic approach (Some knowledge is stored)


Explanation : We use a Heuristic approach, as it will find out brute force computation, looking at hundreds of thousands of positions. e.g Chess competition between Human and AI based Computer.

A)
LIFO
B)
LILO
C)
FILO
D)
FIFO

Correct Answer : Option (A) :   LIFO


Explanation : Depth-First Search implemented in recursion with LIFO stack data structure.

A)
This algorithm is neither complete, nor optimal.
B)
may not terminate and go on infinitely on one path
C)
It can get stuck in loops. It is not optimal.
D)
There can be multiple long paths with the cost ≤ C*

Correct Answer : Option (C) :   It can get stuck in loops. It is not optimal.


Explanation : The disadvantage of Greedy Best First Search is that it can get stuck in loops. It is not optimal.

A)
3
B)
4
C)
5
D)
6

Correct Answer : Option (B) :   4


Explanation : The four types of informed search method are best-first search, Greedy best-first search, A* search and memory bounded heuristic search.

A)
3
B)
4
C)
5
D)
6

Correct Answer : Option (C) :   5


Explanation : The five types of uninformed search method are Breadth-first, Uniform-cost, Depth-first, Depth-limited and Bidirectional search.

A)
O(d2) and O(d2)
B)
O(b2) and O(d2)
C)
O(d2) and O(b2)
D)
O(bd+1) and O(bd+1)

Correct Answer : Option (D) :   O(bd+1) and O(bd+1)


Explanation : We consider a hypothetical state space where every state has b successors. The root of the search tree generates b nodes at the first level, each of which generates b more nodes, for a total of b2 at the second level. Each of these generates b more nodes, yielding b3 nodes at the third level, and so on. Now suppose that the solution is at depth d. In the worst case, we would expand all but the last node at level d (since the goal itself is not expanded), generating bd+1- b nodes at level d+1.

A)
When all step costs are equal
B)
When all step costs are unequal
C)
When there is less number of nodes
D)
None of the above

Correct Answer : Option (A) :   When all step costs are equal