Author: Tristan Greene / Source: The Next Web
A pair of computer scientists from Georgia Tech developed a machine learning-based method to automate the generation of novel video games. It’s the first of its kind and could lead to the democratization of game creation.
Making a video game is hard work.
Today’s modern AAA titles are developed by teams of dozens or even hundreds of expert computer programmers. Most of those teams use AI and machine-learning algorithms to ease development burdens – especially in popular engines like Unity – but until now there hasn’t been a way to automate the creation of an entirely original game.Matthew Guzdial and Mark Riedl, researchers from Georgia Tech’s School of Interactive Computing recently pre-published a paper titled “Automated Game Design via Conceptual Expansion,” which they believe lays the groundwork for creating one.
The conceptual expansion algorithms work by taking input in the form of video game levels from already developed games and converting them into an output that lays out the environments, objects, and rules for a new video game.
According to the white paper:
The process is as follows: we take as input gameplay video and a spritesheet. A spritesheet is a collection of all…
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