It is easy to create new combinatorial games but more difficult to predict those that will interest human players. We examine the concept of game quality, its automated measurement through self-play simulations, and its use in the evolutionary search for new high-quality games. A general game system called Ludi is described and experiments conducted to test its ability to synthesize and evaluate new games. Results demonstrate the validity of the approach through the automated creation of novel, interesting, and publishable games.
|Number of pages||16|
|Journal||IEEE Transactions on Computational Intelligence and AI in Games|
|Publication status||Published - Mar 2010|
- artificial intelligence (AI)
- combinatorial game
- evolutionary search
- game design