Title :
Comparison of human and AI bots in StarCraft with replay data mining
Author :
Ho-Chul Cho ; Kyung-Joong Kim
Author_Institution :
Dept. of Comput. Sci. & Eng., Sejong Univ., Seoul, South Korea
Abstract :
When you prepare an entry for the StarCraft AI competitions, it is important to understand the difference between human leagues and AI bots´ competitions. Simply, you can watch a lot of replays from the two leagues and compare their plays. Unfortunately, it takes much time to review them and also requires expertise for the game. Recently, it is possible to access a lot of replay files from the Internet for the two leagues. In this paper, we propose to use replay-based data mining algorithms to identify the difference between human and AI bots. It shows that the AI league has unique property compared with the human competition.
Keywords :
computer games; data mining; AI bots; StarCraft AI competitions; artificial intelligence; human competition; human leagues; replay data mining algorithms; Artificial intelligence; Computers; Data mining; Games; Machine learning algorithms; Observers; Production; Data Mining; Fog-of-War; Replay; Scouting; StarCraft;
Conference_Titel :
Computational Intelligence in Games (CIG), 2013 IEEE Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4673-5308-3
DOI :
10.1109/CIG.2013.6633667
