  We present initial research towards procedural generation of Simplified
Boardgames and translating them into an efficient GDL code. This is a step
towards establishing Simplified Boardgames as a comparison class for General
Game Playing agents. To generate playable, human readable, and balanced
chess-like games we use an adaptive evolutionary algorithm with the fitness
function based on simulated playouts. In future, we plan to use the proposed
method to diversify and extend the set of GGP tournament games by those with
fully automatically generated rules.
