The AI 101 series aims to bring you up to speed on how artificial intelligence works. To do this, we base all of our examples within games. While some technical literacy is expected, I strive to make this writing as accessible as possible.
The Foundations Series
Our first series of AI 101 is focused on covering the absolute basics: what do we mean when we refer to AI systems? What is considered to be an artificially intelligent piece of software? We cover all of this and get into some foundation AI theory while relating it to games along the way!
This is where we set the scene for AI 101: discussing what the series is about and additional materials that students may find useful.
Part 1: Why Are You Here?
Where we discuss the elephant in this virtual room: you're only interested in reading this article because you expect to gain something from the experience.
Part 2: Actions Rewards & Video Games
So how did everything in part 1 about actions and rewards relate to games? Here we look at how reward structures are embedded in video games to make you better at playing them.
Part 3: Intelligent Agents
Where we discuss the notion of an agent - a key AI concept. In addition, we discuss what characteristics are expected of software to be considered agents.
Part 4: Game AI - A Unique Challenge
We take a moment to highlight how AI applications in commercial video games, present unique challenges when compared to other problem areas.
Part 6: Start Searching!
Exploring the fundamentals of search space terminology and the challenges of exploring these environments.
Part 7: Uninformed Search
An overview of uninformed search algorithms breadth-first and depth-first search.
Part 9: Considering Heuristics
Having previously considered costs, we now consider another metric called a 'heuristic'; allowing us to measure roughly how far away we are from the goal.