General Game Heuristic Prediction Based on Ludeme Descriptions
Matthew Stephenson, Dennis J. N. J. Soemers, Eric Piette, Cameron, Browne

TL;DR
This paper evaluates heuristics for general game playing in Ludii, trains models to predict heuristic performance from game descriptions, and analyzes the Ludii game set and its defining ludemes.
Contribution
It introduces a method to predict heuristic effectiveness from game descriptions and provides an analysis of Ludii's game content and ludemes.
Findings
Regression models can predict heuristic performance from game descriptions.
Analysis reveals key ludemes that define Ludii games.
Performance varies across different heuristics and game types.
Abstract
This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.
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Taxonomy
TopicsArtificial Intelligence in Games · Sports Analytics and Performance · Gambling Behavior and Treatments
