A Tetris AI with an Adventurous Strategy Based on Attribute Theory Method

摘要：

During recent years, an amount of researchers are becoming interested in the popular video game Tetris. However, most of the researchers concentrate on eliminating as many rows as possible only, without considerations on how many rows are eliminated within each action. In this paper, we simulate human players behavior and try to increase the average rows eliminated each action as far as we can, and during this procedure we basically use Attribute Theory Method. We call it adventurous strategy because it is venturesome in some respect We also introduce a danger evaluation to counteract the adverse factors of this strategy.

关键词： Tetris Artificial Intelligence Adventurous Strategy Attribute Theory Method.

作者: XU Pu FENG Jiali

作者单位: College of Information Engineering Shanghai Maritime University Shanghai 201306, P. R. China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 1881-1886

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）