Explore topic-wise MCQs in Artificial Intelligence.

This section includes 8 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.

1.

What is the evaluation function in A* approach?

A. Heuristic function
B. Path cost from start node to current node
C. Path cost from start node to current node + Heuristic cost
D. Average of Path cost from start node to current node and Heuristic cost
Answer» D. Average of Path cost from start node to current node and Heuristic cost
2.

What is the evaluation function in greedy approach?

A. Heuristic function
B. Path cost from start node to current node
C. Path cost from start node to current node + Heuristic cost
D. Average of Path cost from start node to current node and Heuristic cost
Answer» B. Path cost from start node to current node
3.

Greedy search strategy chooses the node for expansion in ___________

A. Shallowest
B. Deepest
C. The one closest to the goal node
D. Minimum heuristic cost
Answer» D. Minimum heuristic cost
4.

Heuristic function h(n) is ________

A. Lowest path cost
B. Cheapest path from root to goal node
C. Estimated cost of cheapest path from root to goal node
D. Average path cost
Answer» D. Average path cost
5.

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.

A. True
B. False
Answer» B. False
6.

The search strategy the uses a problem specific knowledge is known as ___________

A. Informed Search
B. Best First Search
C. Heuristic Search
D. All of the mentioned
Answer» E.
7.

A* algorithm is based on ___________

A. Breadth-First-Search
B. Depth-First Search
C. Best-First-Search
D. Hill climbing
Answer» D. Hill climbing
8.

A heuristic is a way of trying ___________

A. To discover something or an idea embedded in a program
B. To search and measure how far a node in a search tree seems to be from a goal
C. To compare two nodes in a search tree to see if one is better than another
D. All of the mentioned
Answer» E.