Evolving Artificial General Intelligence for Video Game Controllers

Abstract

The General Video Game Playing Competition (GVGAI) defines a challenge of creating controllers for general video game playing, a testbed—as it were-for examining the issue of artificial general intelligence. We develop herein a game controller that mimics human-learning behaviour, focusing on the ability to generalize from experience and diminish learning time as new games present themselves. We use genetic programming to evolve hyper heuristic-based general players, our results showing the effectiveness of evolution in meeting the generality challenge.