Three population co-evolution for generating mechanics of endless runner games
Vojtěch Černý, Jakub Gemrot · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2021
Procedural content generation (PCG) is increasingly used to generate many aspects in a variety of games. However, using PCG to generate mechanics of games is rarely attempted. Past approaches include using cooperative coevolution to generate the rules and the environment of a game, which had interesting results. Our approach extends this idea by using coevolution with three populations, also generating the evaluating player. We used this approach to generate endless runner games, for which it was able to generate novel mechanics.