Wireframe - #35 - 2020

Source Code

Toolbox

42 / wfmag.cc

Directory

Toolbox

Handy game AI

tutorials and resources

 The total beginner’s guide to game AI

GameDev.net’s primer is a good place to learn about the concepts of artificial intelligence in games,

from basic decision-making to pathfinding to finite state machines.

wfmag.cc/beginner-ai

 Pac-Man’s ghost AI

If you want to learn how to create AI characters with personality in just a few lines of code, then

Pac-Man is worth studying in detail. GameInternals’ deep-dive is an ideal place to start.

wfmag.cc/pac-ghost

 Reinforcement Learning in Python

Mauro Comi shows you how to develop an AI Bot capable of learning how to play that old Nokia

mainstay, Snake, with Python and Pygame.

wfmag.cc/snake-learning

 Make an AI-powered Unity game

This Udemy course shows you how to use C# and NavMesh to make an AI spaceship that can

explore a three-dimensional planet.

wfmag.cc/ai-ship

 AI in Unreal Engine 4

Learn how to use controllers and behaviour trees to create a simple AI character that roams and

attacks enemies in Unreal Engine 4.

wfmag.cc/unreal-attack

 Pathfinding in Unity

Never heard of A* Search or Dijkstra’s algorithm? This Udemy tutorial teaches you these concepts,

and how to implement them in a 2D maze.

wfmag.cc/unity-path

 Advanced AI for games

Another Udemy course, this time about Goal-Oriented Action Planning to create smoother and

smarter non-player character movement.

wfmag.cc/ai-goap

If the cunning AI in our Substitute Soccer game left you wanting

to learn more about the subject, here are some suggestions

Directory

 Pac-Man used simple
algorithms to give its ghosts
individual movement patterns.
There’s a bug in the code,
though – you can read Don
Hodges’s geeky explanation at
wfmag.cc/pac-bug.

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