Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Chapter: 10
Q321:
DFS stands for ________.
A. Depth-Free Search
B. Digital Fast Search
C. Depth-First Search
D. Data Forward Search
Correct Answer:
C
Chapter: 10
Q322:
Minimax trees alternate between ________ and ________ players.
A. Random and logical
B. Root and leaf
C. Maximizer and minimizer
D. Searcher and evaluator
Correct Answer:
C
Chapter: 10
Q323:
The output of static evaluator for each node is a ________.
A. Depth level
B. Number of children
C. Score representing favorability
D. CPU cycle time
Correct Answer:
C
Chapter: 10
Q324:
The main difference between WSP and ISP is ________.
A. Use of colors
B. Structuredness and clarity
C. Choice of language
D. Problem history
Correct Answer:
B
Chapter: 10
Q325:
Alpha Beta Pruning ensures ________.
A. Slower processing
B. All nodes evaluated
C. Redundant paths are skipped
D. Fewer tree levels evaluated
Correct Answer:
C
Chapter: 10
Q326:
In problem solving, goal state is the condition that ________.
A. Was first created
B. We are trying to reach
C. Needs to be ignored
D. Should be copied
Correct Answer:
B
Chapter: 10
Q327:
What is the hill climbing search method based on?
A. Random traversal
B. Backward logic
C. Continuous movement towards higher value
D. Pruning strategy
Correct Answer:
C
Chapter: 10
Q328:
Static evaluation function outputs can be _________.
A. Only zero
B. Only positive or negative
C. Always equal
D. None of these
Correct Answer:
B
Chapter: 11
Q329:
In large search spaces, why do some problem-solving techniques avoid keeping full history?
A. To save memory
B. To increase accuracy
C. To track all paths
D. To slow down processing
Correct Answer:
A
Chapter: 11
Q330:
Ill-structured problems are characterized by:
A. Known initial and goal states
B. Unknown initial and goal states
C. Fixed operators
D. Clear problem definition
Correct Answer:
B
Chapter: 11
Q331:
What is the main advantage of a parallel search approach in problem solving?
A. Reduces solution quality
B. Speeds up searching
C. Uses only one search path
D. Avoids mutations
Correct Answer:
B
Chapter: 11
Q332:
In the parallel hill climbing method, search instances:
A. Start from one position
B. Start from multiple positions
C. Do not interact
D. Always move downhill
Correct Answer:
B
Chapter: 11
Q333:
How do parallel hill climbing instances improve their search?
A. By working independently
B. By interacting and evolving
C. By restarting from initial state
D. By ignoring other paths
Correct Answer:
B
Chapter: 11
Q334:
Genetic Algorithms (GA) are inspired by which natural phenomenon?
A. Weather changes
B. Human evolution
C. Artificial intelligence
D. Chemical reactions
Correct Answer:
B
Chapter: 11
Q335:
What happens to current states of different search paths in Genetic Algorithms?
A. They remain independent
B. They combine to form new paths
C. They stop searching
D. They are deleted
Correct Answer:
B
Chapter: 11
Q336:
What is "inheritance" in Genetic Algorithms?
A. Random changes in offspring
B. Transfer of attributes from parents
C. Choosing best solutions
D. Deleting weak solutions
Correct Answer:
B
Chapter: 11
Q337:
What does "mutation" refer to in Genetic Algorithms?
A. Small random changes
B. Inheriting traits
C. Selecting the best solution
D. Initializing the population
Correct Answer:
A
Chapter: 11
Q338:
What is the first step in a basic Genetic Algorithm?
A. Produce offspring
B. Start with random population
C. Quit immediately
D. Mutate solutions
Correct Answer:
B
Chapter: 11
Q339:
In a Genetic Algorithm, when is the process terminated?
A. After one iteration
B. When a satisfactory solution is found or time runs out
C. When all solutions fail
D. After all mutations
Correct Answer:
B
Chapter: 11
Q340:
Which process is NOT part of a basic Genetic Algorithm?
A. Evaluation
B. Mutation
C. Backtracking
D. Inheritance
Correct Answer:
C