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Artificial Intelligence Quiz

Total questions: 25

Worksheet time: 13mins

Name
Class
Date
1.

What is the main focus of local search algorithms?

a)

Finding the optimal path to a solution

b)

Using extensive memory

c)

Operating on the current state only

d)

Exploring all possible states

2.

Which of the following is a problem associated with hill climbing?

a)

Global maxima

b)

High memory usage

c)

Local maxima

d)

Infinite state spaces

3.

What does simulated annealing allow that hill climbing does not?

a)

Faster convergence

b)

Only uphill moves

c)

No randomness in decision making

d)

Downhill moves to escape local maxima

4.

What is the primary advantage of local beam search?

a)

Explores multiple paths at once

b)

Requires less memory than BFS

c)

Always finds the optimal solution

d)

Uses a fixed-size memory window

5.

In the context of genetic algorithms, what does 'crossover' refer to?

a)

Selecting the best individuals

b)

Exchanging gene segments between parents

c)

Random changes to gene bits

d)

Creating the initial population

6.

What is a contingency plan in AI?

a)

A plan that requires no observations

b)

A fixed sequence of actions

c)

A method for deterministic actions

d)

A strategy with multiple options

7.

What is the purpose of the AND-OR search tree?

a)

To avoid cycles in search

b)

To ensure optimal solutions

c)

To explore all possible states

d)

To solve problems by breaking them into smaller sub-problems

8.

What is the main characteristic of a perfect information game?

a)

Players cannot see each other's moves

b)

Random events influence the game

c)

Players have complete knowledge of the game state

d)

Players act simultaneously

9.

Which algorithm is used to find the optimal move in adversarial games?

a)

Hill Climbing

b)

Simulated Annealing

c)

Minimax Algorithm

d)

Genetic Algorithm

10.

What does alpha-beta pruning do?

a)

Increases the search space

b)

Eliminates the need for evaluation functions

c)

Reduces the search space by cutting off branches

d)

Guarantees finding the optimal solution

11.

What is the primary function of the knowledge base in a knowledge-based agent?

a)

To store sensory data

b)

To represent knowledge about the world

c)

To execute actions

d)

To perform calculations

12.

In propositional logic, what does the symbol '∧' represent?

a)

Disjunction

b)

Conjunction

c)

Implication

d)

Negation

13.

What is the purpose of the inference engine in a knowledge-based agent?

a)

To store knowledge

b)

To process input from the environment

c)

To execute actions

d)

To derive new knowledge from existing knowledge

14.

What is a key feature of the Wumpus World environment?

a)

It is deterministic

b)

It has a fixed number of states

c)

It contains unpredictable elements

d)

It is fully observable

15.

What does the term 'utility' refer to in game theory?

a)

The final numeric value for a game state

b)

The number of moves made

c)

The complexity of the game

d)

The number of players

16.

What is the main goal of a knowledge-based agent?

a)

To explore all possible states

b)

To perform actions based on knowledge

c)

To learn from the environment

d)

To maximize its utility

17.

Which of the following is a disadvantage of hill climbing?

a)

It is not suitable for optimization problems

b)

It can get stuck in local optima

c)

It is memory-intensive

d)

It requires extensive computation

18.

What is the primary function of the cooling schedule in simulated annealing?

a)

To control the probability of accepting worse moves

b)

To evaluate the current state

c)

To determine the initial state

d)

To generate random moves

19.

What is the main characteristic of a non-deterministic game?

a)

Players act sequentially

b)

The outcome is determined by chance

c)

The game is fully observable

d)

Players have complete information

20.

What does the term 'quiescence' refer to in game evaluation?

a)

Stable positions with no big changes

b)

The beginning of the game

c)

Positions that are unstable

d)

The end of the game

21.

What is the purpose of the evaluation function in game AI?

a)

To determine the next move

b)

To store game history

c)

To estimate the expected utility of a game state

d)

To generate random moves

22.

What is the main goal of backward chaining in logic?

a)

To start from the goal and prove premises

b)

To derive new facts from existing ones

c)

To evaluate all possible actions

d)

To store knowledge efficiently

23.

What is the significance of the horizon effect in game AI?

a)

It eliminates the need for evaluation

b)

It simplifies the game tree

c)

It guarantees optimal moves

d)

It delays dangerous moves

24.

Which of the following is not a component of Knowledge Base?

a)

Knowledge Base

b)

Inference Engine

c)

Learning

d)

Environment

25.

Horn Clause has ____ positive literals

a)

<=1

b)

==1

c)

>1

d)

0