Summerville

Game generation and analysis has commonly relied on hand authored rules and heuristics. This authoring task comes with a high authorial burden, both in the amount of rules and heuristics that need to be authored for decent coverage and in the complexity of authoring these rules. In this paper I present early work on \textit{Leda} and inductive logic programming system designed to learn these rules, so as to support further generation and analysis. I present Leda, describe its process, and finally show a sample set of the rules that it learns.