AI Development and Game Mechanics

What is the main objective of the game "Trash Blaster"?

• Collect power-ups

• Destroy pieces of trash

• Avoid all moving objects

• Reach the end of the level

What programming language is used to develop the AI program in this lab?

• Java

• C++

• Python

• JavaScript

What are the three main steps to create a game-playing AI system?

• Build game, create AI, train model

• Design characters, develop levels, test gameplay

• Gather data, analyze results, publish findings

• Write code, debug errors, optimize performance

Which of these is NOT an input considered for the neural network's input layer in the "Trash Blaster" game?

• Relative X position of trash

• Relative Y velocity of trash

• Size of trash

• Color of trash

What is the role of mutation in a genetic algorithm?

• It creates exact duplicates of the most successful models.

• It introduces random, small alterations to the models.

• It merges two different models to form a new one.

• It removes models that do not perform well.

Why is it crucial to carefully define an AI model's fitness function?

• To make the AI learn at a faster rate.

• To guide the AI to develop the desired behaviors for a task.

• To prevent the AI from making any changes to its programming.

• To decrease the total number of AI models in each group.

In a game where the goal is to destroy trash, what would likely happen if an AI's fitness function only rewarded staying alive?

• The AI would become very skilled at destroying trash quickly.

• The AI would learn to avoid all trash instead of destroying it.

• The AI would remain motionless throughout the game.

• The AI would develop the ability to predict future trash movements.

Why do genetic algorithms typically require many iterations to effectively train an AI model?

• To ensure the AI model's neural network remains small and simple.

• To allow sufficient time for random mutations to produce beneficial adaptations.

• To increase the speed at which the AI model processes information.

• To reduce the computational resources needed for training.