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AI agent, Nature of Environment

Authored by Vysakh Mohan

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AI agent, Nature of Environment
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of Artificial Intelligence?

To create expert systems
To solve puzzles
To understand emotions
To make machines intelligent

Answer explanation

AI aims to develop systems that exhibit intelligent behavior and act autonomously.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best defines an intelligent agent?

An entity that can play chess
A robot that follows instructions
An entity that perceives its environment and acts upon it
A program that stores data

Answer explanation

An intelligent agent perceives and acts to maximize its success.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a component of the agent function?

Perception
Action
Environment
Thinking

Answer explanation

The environment is external to the agent, not part of its internal function.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of environment provides complete information at all times?

Fully observable
Partially observable
Stochastic
Dynamic

Answer explanation

Fully observable environments allow the agent full access to the state of the world.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What makes an agent rational?

Its ability to learn from data
Following random actions
Maximizing performance measure
Being programmed by a human

Answer explanation

A rational agent acts to achieve the best expected outcome based on its knowledge.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a stochastic environment:

The outcome is always known
Outcomes are uncertain
Agents are not allowed
Sensors do not work

Answer explanation

A stochastic environment has randomness and unpredictability.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which agent type maintains an internal model of the world?

Simple reflex agent
Model-based reflex agent
Goal-based agent
Utility-based agent

Answer explanation

Model-based agents use internal models to handle partial observability.

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