[1]LI Xiali,WU Licheng,LI Yongji.Tibetan JIU computer game research based on chess form[J].CAAI Transactions on Intelligent Systems,2018,13(4):577-583.[doi:10.11992/tis.201609023]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 4
Page number:
577-583
Column:
学术论文—智能系统
Public date:
2018-07-05
- Title:
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Tibetan JIU computer game research based on chess form
- Author(s):
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LI Xiali; WU Licheng; LI Yongji
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School of Information Engineering, Minzu University of China, Beijing 100081, China
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- Keywords:
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computer games; Tibetan JIU chess; chess form; attack and defense strategies; pattern matching
- CLC:
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TP39
- DOI:
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10.11992/tis.201609023
- Abstract:
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JIU is a traditional Tibetan board game that is divided into two sequential stages—embattle (or prepare for battle) and battle. The embattle stage has a critical effect on the subsequent battle. Compared with AlphaGo and AlphaGo Zero computer programs, which have defeated top human players, research on the game of JIU is almost nonexistent. To broaden the scope of computer game research and work toward the development of a sophisticated JIU chess game, we conducted a computer game study of the formations used in chess. Specifically, we collected about 300 JIU play records in an on-the-spot investigation in the Aba Autonomous Prefecture of Sichuan Province. In our analysis of these play records, we identified several common chess formations, which we refer to as the triangle, trinity, twain, contrast, and square formations. To increase the speed of the character string matching process, we used a pattern matching algorithm in the embattle stage. We also designed defensive, attack, and collaboration strategies for the embattle and battle stages based on these chess formations. The defensive, attack, and collaboration strategies have decreasing priority. Then, we developed JIU chess software using C language, with functions including the man–man VS mode, human–computer VS AI mode, and automatic recording of the play process. This software performed consistently in the man–machine game play exhibition at the 2016 Seventh “Sports Lottery Cup” Tibetan Chess Contest held in the Aba Autonomous Prefecture of Sichuan Province. However, the chess level realized by the software must be improved. The results show that attack and defense strategies based on chess formations can be effectively applied to JIU chess computer games.