基于LSTM的二打一游戏同等牌力生成系统  

An LSTM-based System for Generating Equal Hand Strength in Two-against-one Games

作　　者：辛巴达 李淑琴[1] Xin Bada;Li Shuqin(Computer College,Beijing Information Science and Technology University,Beijing 100101,China)

机构地区：[1]北京信息科技大学计算机学院,北京100101

出　　处：《兵工自动化》2023年第11期56-59,82,共5页Ordnance Industry Automation

摘　　要：为解决当前竞技二打一比赛中存在的赛制冗长、存在作弊隐患的问题,设计一种牌力评估与同等牌力生成系统。对大量人类打牌数据使用二阶聚类算法进行聚类分析,得到手牌牌力分类的标注数据集;构建基于注意力机制的长短期记忆网络(long short term memory network,LSTM)模型,针对手牌序列与手牌牌力进行训练,并通过生成同等牌力手牌借助AI机器人进行对打实验。实验结果表明:生成的不同牌力手牌在胜率上具有显著区别,可正确生成对应牌力手牌,具有可行性。In order to solve the problems of long competition system and hidden danger of cheating in the current competitive two-against-one competition,a system of card strength evaluation and equal card strength generation is designed.Carry out clustering analysis on a large amount of human card play data by using a second-order clustering algorithm to obtain a labeled data set of hand card strength classification;A long short term memory network(LSTM)model based on attention mechanism is constructed to train the hand sequence and hand strength,and the hand with the same hand strength is generated to conduct a sparring experiment with the help of AI robot.The experimental results show that there is a significant difference in the winning rate between the generated different card strength hands,and the corresponding card strength hands can be generated correctly,which is feasible.

关 键 词：二打一游戏 同等牌力 聚类评估 LSTM模型 注意力机制 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]