Let's Make an AI that Destroys Video Games

Let's Make an AI that Destroys Video Games

Assessment

Interactive Video

Information Technology (IT), Architecture

11th Grade - University

Medium

Created by

Quizizz Content

Used 1+ times

FREE Resource

The video tutorial introduces the concept of using AI in games, specifically focusing on building and training an AI model to play a game called Trash Blaster. The tutorial covers the steps to create the game using Python and Google Collaboratory, model the AI using neural networks and genetic algorithms, and train the AI to improve its performance. The tutorial emphasizes the importance of defining a fitness function to guide the AI's learning process and demonstrates how the AI evolves over multiple iterations.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the AI program discussed in the video?

To create a new video game

To design a new gaming console

To help John Green Bot play 'Trash Blaster' like a pro

To develop a new programming language

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which tool is used to write the code for the game?

Microsoft Word

Google Collaboratory

Adobe Photoshop

Visual Studio

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the three main objects defined in the game 'Trash Blaster'?

Hero, Villain, and Sidekick

Blaster, Hero, and Trash

Bot, Laser, and Shield

Player, Enemy, and Obstacle

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the neural network's input layer in the AI model?

To manage the game's sound effects

To consider the positions and velocities of trash pieces

To control the game's graphics

To determine the game's difficulty level

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What learning strategy is used to train the AI model in 'Trash Blaster'?

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Transfer Learning

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of mutations in the genetic algorithm?

To ensure the AI model remains static

To decrease the AI's learning rate

To reset the AI model to its initial state

To introduce variations and improve AI performance

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the fitness of the AI model evaluated in the game?

By the number of levels completed

By the amount of trash destroyed and time survived

By the number of games played

By the number of errors in the code

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