Lecture THREE.

Lecture THREE.

University

20 Qs

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Lecture THREE.

Lecture THREE.

Assessment

Quiz

Computers

University

Practice Problem

Easy

Created by

Ahmed Mohamed

Used 87+ times

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20 questions

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1.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

What is an Agent in artificial intelligence?

A program that has no interaction with its environment

A program that can only act upon its environment through actuators

A program that can only perceive its environment through sensors

A program that can perceive its environment through sensors and act upon that environment through actuators

2.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

What is the performance measure of a rational agent usually chosen by?

The actuators

The sensors

The environment

The agent designer

3.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

Rational Agent should select an actions that minimize its performance measure to do the right thing.

True

False

Answer explanation

Rational Agent should select an actions that maximize its performance measure to do the right thing.

4.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

What does PEAS stand for in the context of specifying a task environment?

Performance, Episodic, Actions, Sensors

Performance measure, Environment, Actuators, Sensors

Performance, Environment, Actions, Sequential

Performance, Episodic, Actuators, Sequential

5.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

According to PEAS for Automated Taxi driver, What're the Environment ?

Types of flowers, trees, and plants in street

Traffic conditions, weather, road conditions, passenger behavior, etc.

Camera, GPS, speedometer, accelerometer,

Local restaurants and attractions

6.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

According to PEAS for Spam filtering, What're the Performance measure?

Size, Color, Shape

Minimize accuracy of detection.

Precision, Recall and Accuracy

Temperature, Humidity, Pressure

7.

MULTIPLE CHOICE QUESTION

15 mins • 5 pts

In the context of environment types, what does 'fully observable' means?

An agent's sensors can measure all relevant aspects of the environment at each point in time

An agent's sensors can measure the environment only in certain conditions

An agent's sensors can only measure some aspects of the environment

An agent's sensors cannot measure any aspect of the environment

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