A game-engine-based learning environment framework for artificial general intelligence toward democratic AGI

Abstract

Artificial General Intelligence (AGI) refers to machine intelligence that can effectively conduct variety of human tasks. Therefore AGI research requires multivariate and realistic learning environments. In recent years, game engines capable of constructing highly realistic 3D virtual worlds have also become available at low cost. In accordance with these changes, we developed the “Life in Silico” (LIS) framework, which provides virtual agents with learning algorithms and their learning environments with game engine. This should in turn allow for easier and more flexible AGI research. Furthermore, non-experts will be able to play with the framework, which would enable them to research as their hobby. If AGI research becomes popular in this manner, we may see a sudden acceleration towards the “Democratization of AGI”.