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CCE-III_Artificial Intelligence

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

Which of the following best defines Artificial Intelligence (AI)?

a)

The ability of machines to perform tasks without human input

b)

The ability of machines to mimic human thought and behavior

c)

The process of designing simple automation systems

d)

The study of computer hardware components

2.

What distinguishes Strong AI from Weak AI?

a)

Strong AI is based on machine learning, while Weak AI is based on automation

b)

Strong AI can perform specific tasks, while Weak AI possesses general intelligence

c)

Strong AI mimics human cognition, while Weak AI is task-specific

d)

Weak AI can reason independently, while Strong AI relies on human input

3.

Which of the following is NOT a foundation of AI?

a)

Mathematics

b)

Psychology

c)

Physics

d)

Linguistics

4.

What is the key characteristic of an intelligent agent?

a)

Ability to operate only in a structured environment

b)

Ability to perceive the environment and take action to maximize success

c)

Ability to solve simple mathematical problems

d)

Ability to perform only predefined tasks

5.

Which type of AI environment includes unknown elements that the agent cannot predict?

a)

Deterministic environment

b)

Stochastic environment

c)

Static environment

d)

Simple environment

6.

In problem-solving, what does a "state space representation" refer to?

a)

A set of all possible actions

b)

A set of all possible paths to the goal state

c)

A set of all possible states and transitions

d)

A set of problem-solving algorithms

7.

What is the primary goal of a constraint satisfaction problem?

a)

To minimize computation time

b)

To satisfy a set of constraints among variables

c)

To maximize search depth

d)

To reduce the number of agents in the environment

8.

In the Water Jug Problem, what represents the state space?

a)

The set of all possible water quantities in the jugs

b)

The number of jugs involved in the problem

c)

The type of jug used in the problem

d)

The steps needed to solve the problem

9.

Which search technique uses a heuristic function to estimate the cost to reach the goal?

a)

Depth-First Search

b)

Breadth-First Search

c)

A* Search

d)

Uniform-Cost Search

10.

Which of the following is an uninformed search technique?

a)

A* Search

b)

Hill-Climbing Search

c)

Best-First Search

d)

Depth-First Search

11.

In knowledge representation, which technique uses "nodes" and "edges" to represent relationships?

a)

Rule-based system

b)

Semantic Nets

c)

Frames

d)

Propositional Logic

12.

What is the purpose of the Resolution Algorithm in propositional logic?

a)

To convert logical statements into a standard form

b)

To compute the shortest path in a graph

c)

To derive a contradiction and prove the statement

d)

To identify logical inconsistencies

13.

What is a limitation of propositional logic in AI?

a)

It cannot handle knowledge representation

b)

It cannot handle complex reasoning involving objects and relationships

c)

It cannot handle conditional statements

d)

It cannot handle simple logical deductions

14.

Which type of neural network allows information to travel in both directions and is useful for pattern recognition?

a)

Feedforward neural network

b)

Hopfield network

c)

Convolutional neural network

d)

Radial basis function network

15.

What is the primary goal of the backpropagation algorithm in neural networks?

a)

To initialize weights randomly

b)

To adjust weights based on error minimization

c)

To generate new neural structures

d)

To increase the complexity of the network

16.

In Natural Language Processing (NLP), what is the focus of syntactic analysis?

a)

Determining the meaning of words

b)

Understanding context and tone

c)

Analyzing the grammatical structure of sentences

d)

Generating human-like responses

17.

Which of the following is NOT a step in natural language processing (NLP)?

a)

Syntax analysis

b)

Pragmatic analysis

c)

Semantic analysis

d)

Logical analysis

18.

In machine learning, which technique involves training a model on labeled data?

a)

Unsupervised learning

b)

Reinforcement learning

c)

Supervised learning

d)

Evolutionary learning

19.

What is the main function of an expert system in AI?

a)

To replace human thinking entirely

b)

To solve problems using predefined rules and knowledge

c)

To search for optimal solutions using machine learning

d)

To process complex visual data

20.

Which component of an expert system contains the problem-solving knowledge?

a)

Inference engine

b)

Knowledge base

c)

User interface

d)

Learning module