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Worksheets

AI and Games

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is the main purpose of teaching AI to play games?

a)

To entertain humans

b)

To analyze human behavior

c)

To create new games

d)

To test new AI algorithms

2.

How do games help AI researchers?

a)

They allow for easy measurement of success

b)

They provide fun distractions

c)

They reduce the need for programming

d)

They offer a way to play with friends

3.

What is a benefit of games for AI training?

a)

They require no rules

b)

They generate their own training data

c)

They are too complicated for AI

d)

They do not involve competition

4.

What algorithm does John-Green-bot use to play tic-tac-toe?

a)

Random Guessing

b)

Minimax Algorithm

c)

Monte Carlo Tree Search

d)

Neural Network

5.

How many possible board states are there in chess?

a)

(10^{20})

b)

(10^{250})

c)

(10^{80})

d)

(10^{50})

6.

Which program first beat a human in checkers?

a)

Deep Blue

b)

AlphaGo

c)

Chinook

d)

Watson

7.

What does Monte Carlo Tree Search involve?

a)

Using randomness and chance

b)

Playing games randomly

c)

Following strict rules

d)

Ignoring previous game states

8.

In what year did a computer beat Garry Kasparov in chess?

a)

1987

b)

1997

c)

2007

d)

2017

9.

Which game is mentioned as being difficult for AI due to its complexity?

a)

Go

b)

Checkers

c)

Tic-Tac-Toe

d)

Chess

10.

What type of games do computers struggle with according to the video?

a)

Strategy games

b)

Board games

c)

Language-based games

d)

Card games