Mining Experiential Patterns from Game-Logs of Board Game. (22nd January 2015)

• Record Type: Journal Article
• Authors: Wang, Liang; Wang, Yu; Li, Yan
• Other Names: Sun Hanqiu Academic Editor.
• Is Part Of: International journal of computer games technology. Volume 2015(2015)
• Publication Date: 2015-01-22
• Subjects: Computer games -- Design -- Periodicals; Computer games -- Programming -- Periodicals; Jeux d'ordinateur; Jeux d'ordinateur -- Programmation; Computer games -- Design; Computer games -- Programming; Electronic journals; Periodicals; 794.81
• DOI: 10.1155/2015/576201
• Languages: English
• ISSNs: 1687-7047

Abstract

Abstract : In board games, game-logs record past game processes, which can be regarded as an accumulation of experience. Similar to a real person, a computer player can gradually increase its skill by learning from game-logs. Therefore, the game becomes more interesting. This paper proposes an extensible approach to mine experiential patterns from increasing game-logs. The computer player improves its strategies by utilizing these growing patterns, just as it acquires experience. To evaluate the effect and performance of the approach, we designed a sample board game as a test platform and elaborated an experiment consisting of a series of tests. Experimental results show that our approach is effective and efficient.