In order to generate complete games through evolution we need generic and reliably evaluation functions for games. It has been suggested that game quality could be characterised through playing a game with different controllers and comparing their performance. This paper explores that idea through investigating the relative performance of different general game-playing algorithms. Seven game-playing algorithms was used to play several hand-designed, mutated and randomly generated VGDL game descriptions. Results discussed appear to support the conjecture that well-designed games have, in average, a higher performance difference between better and worse game-playing algorithms.
|Titel||Applications of Evolutionary Computation : 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings|
|Forlag||Springer Publishing Company|
|Status||Udgivet - 2015|
|Begivenhed||Evostar 2015: EvoGAMES - Bio-inspired Algorithms in Games - http://www.evostar.org/2015/cfp_evogames.php, Copenhagen, Danmark|
Varighed: 8 apr. 2015 → 10 apr. 2015
|Periode||08/04/2015 → 10/04/2015|
|Navn||Lecture Notes in Computer Science|