# An Empirical Evaluation of Two General Game Systems: Ludii and RBG

## TL;DR

This paper empirically compares Ludii and RBG, two emerging general game systems, focusing on their simplicity and efficiency to evaluate their suitability for AI research in game-playing.

## Contribution

It provides the first experimental comparison of Ludii and RBG, highlighting their relative strengths in simplicity and computational efficiency.

## Key findings

- Ludii and RBG differ significantly in efficiency.
- Ludii offers greater human-readability.
- Both systems show potential for AI research.

## Abstract

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.