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AI Quiz 2

Total questions: 25

Worksheet time: 25mins

Name
Class
Date
1.

Which of the following best describes propositional logic?

a)

A logic dealing with objects and their relations

b)

A logic that reasons with statements that are true or false

c)

A procedural programming language

d)

A method of machine learning

2.

What does 'Unification' refer to in first-order predicate logic?

a)

Combining multiple algorithms into one system

b)

Finding a substitution that makes different logical expressions identical

c)

Splitting a query into multiple components

d)

Converting natural language to logic

3.

In Prolog, which of the following is used to perform inference?

a)

Backpropagation

b)

Forward chaining

c)

Backward chaining

d)

Gradient descent

4.

What is the purpose of resolution in predicate logic?

a)

To determine truth values by testing all models

b)

To derive conclusions by combining clauses

c)

To identify variables in an expression

d)

To translate logic into executable code

5.

In ontological engineering, what is an ontology primarily used for?

a)

To create predictive models

b)

To formally define types, properties, and relationships of entities

c)

To compile source code

d)

To measure system performance

6.

What are categories and objects in knowledge representation concerned with?

a)

Machine learning predictions

b)

Organizing entities into classes and instances

c)

Optimizing algorithms for performance

d)

Data encryption and protection

7.

In reasoning systems, what is 'default reasoning'?

a)

A reasoning process assuming all premises are false

b)

A method of reasoning where assumptions hold until contradicted

c)

A neural-based reasoning mechanism

d)

A random reasoning mechanism for uncertain data

8.

What is the main role of an intelligent agent’s architecture?

a)

To define the structure and decision-making framework of the agent

b)

To describe user interface elements

c)

To control the hardware specifications of the agent system

d)

To perform statistical data analysis

9.

In multi-agent systems, why is 'trust and reputation' important?

a)

It defines the network speed between agents

b)

It manages the security of the communication channels

c)

It ensures cooperation and reliability among agents

d)

It increases memory storage

10.

Which of the following is an example of an AI application?

a)

Language models and machine translation

b)

Database indexing

c)

Hardware networking

d)

Compiler optimization

11.

What is the primary function of an intelligent agent in artificial intelligence?

a)

To follow fixed rule-based instructions only

b)

To perceive its environment and act autonomously to achieve goals

c)

To replace human decision-making entirely

d)

To execute pre-defined commands without feedback

12.

Which of the following best describes the architecture for intelligent agents?

a)

A static, rule-based system with no learning

b)

A layered or modular structure that supports perception, reasoning, and action

c)

A purely reactive architecture with no internal state

d)

An unsupervised neural network without inputs

13.

Which of the following is a key feature of negotiation among agents?

a)

Agents share all private information before reaching an agreement

b)

Agents make offers and counteroffers to reach mutually acceptable outcomes

c)

Agents always reach agreement instantly

d)

Negotiation happens only in competitive environments

14.

Why is trust important in multi-agent systems?

a)

It reduces the need for communication protocols

b)

It allows agents to predict and rely on the behavior of other agents

c)

It eliminates the need for negotiation

d)

It ensures agents never fail

15.

In a multi-agent system, what is the primary role of a communication protocol?

a)

To determine the physical network topology of agents

b)

To ensure reliable and meaningful message exchange between agents

c)

To prevent agents from sharing information

d)

To control human-agent interactions only

16.

Which of the following is the most distinguishing characteristic of an Intelligent Agent compared to a simple program?

a)

graphical user interface (GUI).

b)

Autonomy and the ability to control its own actions based on perception.

c)

High processing speed.

d)

The ability to perform complex calculations.

17.

In a Reactive Agent architecture, the decision-making process primarily relies on which of the following?

a)

long-term, calculated plan generated by a search algorithm.

b)

A deep internal model of the world state and past history.

c)

Consulting a central, shared Blackboard for hypotheses.

d)

Simple Condition-Action rules applied directly to the current percept.

18.

Which architecture uses a central shared space for various components to cooperate and communicate indirectly?

a)

Reactive architecture

b)

Deliberative architecture

c)

Blackboard architecture

d)

Hybrid architecture

19.

In the Belief-Desire-Intention (BDI) architecture, what do 'Beliefs' represent?

a)

The agent's goals to be achieved

b)

The agent's current understanding of the world

c)

The agent's chosen actions

d)

The priorities between desires

20.

A hybrid agent architecture is designed to:

a)

Combine reactive and deliberative elements for better adaptability

b)

Focus solely on pre-programmed responses

c)

Use symbolic logic only

d)

Perform reasoning without environmental input

21.

Which of the following is a key application of Artificial Intelligence (AI)?

a)

Spreadsheet calculation

b)

Automated reasoning systems

c)

Manual data entry

d)

Paper filing systems

22.

Which of the following best demonstrates the use of Natural Language Processing (NLP)?

a)

A self-driving car navigating traffic

b)

A chatbot understanding and responding to user queries

c)

A computer storing a file in the cloud

d)

A camera detecting facial features

23.

Which of the following is a real-world example of Information Extraction (IE)?

a)

Google search results listing documents

b)

A system identifying names and dates from a news article

c)

A translation system converting English to French

d)

Speech recognition converting voice to text

24.

What is the main goal of natural language processing (NLP)?

a)

To build faster databases

b)

To enable computers to understand and process human language

c)

To generate encryption keys

d)

To analyze image features

25.

In the context of Language Models, what is a 'Token'?

a)

The entire sentence or document fed to the model.

b)

A numerical value representing the probability of the next word.

c)

The basic unit of text (word, subword, or character) that the model processes and generates.

d)

Always a single character in the input text.