  Although General Game Playing (GGP) systems can facilitate useful research in
Artificial Intelligence (AI) for game-playing, they are often computationally
inefficient and somewhat specialised to a specific class of games. However,
since the start of this year, two General Game Systems have emerged that
provide efficient alternatives to the academic state of the art -- the Game
Description Language (GDL). In order of publication, these are the Regular
Boardgames language (RBG), and the Ludii system. This paper offers an
experimental evaluation of Ludii. Here, we focus mainly on a comparison between
the two new systems in terms of two key properties for any GGP system:
simplicity/clarity (e.g. human-readability), and efficiency.
