Abstract
This paper explores the nature of DouDiZhu which is an incomplete-information multi-player game and the most popular card game in China. While there are many DouDiZhu-like card games in the world, standard DouDiZhu card game is particularly characterized by its harmonic combination of several factors including the number of players, player’s roles such as landlord and peasant, the number of decks, and score system to determine the winner. However, a study on such factors in relation to DouDiZhu game sophistication and attractiveness is not yet established. As such, this paper conducts such study by building the artificial intelligence (AI) player of DouDiZhu game with different levels, conducting simulations of self-play among the AI players, and employing the game refinement measure to assess and identify the attractive settingsof this game. The results obtained show that standard DouDiZhu has provided the most sophisticated game setting for various AI players,which is analogous to actual human players of various levels.
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References
Berlin, D.L.S.: Span: Integrating problem-solving tactics. In: International Joint Conference on Artificial Intelligence. pp. 1047–1051 (1985)
Billings, D.: Computer poker. University of Alberta. Department of Computing Science (1995)
Billings, D., Burch, N., Davidson, A., Holte, R.C., Schaeffer, J., Schauenberg, T., Szafron, D.: Approximating game-theoretic optimal strategies for full-scale poker. In: International Joint Conference on Artificial Intelligence. pp. 661–668 (2003)
Cai, X.: Why do chinese people like playing “doudizhu”? Party life: jiangsu (2011)
Frank, I., Basin, D.: Search in games with incomplete information: a case study using Bridge card play. Elsevier Science Publishers Ltd. (1998)
Hu, C.: A brief analysis of the phenomenon of “doudizhu”. The enterprise culture (8), 79 (2000)
Iida, H., Takahara, K., Nagashima, J., Kajihara, Y., Hashimoto, T.: An application of game-refinement theory to mah jong. Proceedings of Icec Ndhoven 3166, 333–338 (2004)
Lin, J.: The application of game tree searching technology in card online game (2009)
Liu, X.: Research and its application on dynamic fuzzy relational learning algorithm (2010)
Wang, S.: The spread and change of ye zi xi. Literature and history knowledge (5), 56–60 (1995)
Whitehouse, D., Powley, E.J., Cowling, P.I.: Determinization and information set monte carlo tree search for the card game dou di zhu. In: 2011 IEEE Conference on Computational Intelligence and Games (CIG’11). pp. 87–94. IEEE (2011)
Wikimedia: Dou dizhu. https://en.wikipedia.org/wiki/Dou_dizhu (2019), last accessed April 2019
Xiong, S., Li, W., Xinting, M., Iida, H.: Mafia Game Setting Research using Game Refinement Measurement (12 2017)
Zhang, Y., Chen, Z., Zheng, L., Zhang, Z., Ding, M., Meng, K., Li, S.: Research on hand discrimination for doudizhu game. In: 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017). Atlantis Press (2017). https://doi.org/10.2991/icemaess-17.2017.97
Zinkevich, M., Johanson, M., Bowling, M., Piccione, C.: Regret minimization in games with incomplete information. In: International Conference on Neural Information Processing Systems. pp. 1729–1736 (2007)
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Gao, Y., Li, W., Khalid, M.N.A., Iida, H. (2020). Quantifying attractiveness of incomplete-information multi-player game: case study using DouDiZhu. In: Alfred, R., Lim, Y., Haviluddin, H., On, C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore. https://doi.org/10.1007/978-981-15-0058-9_29
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DOI: https://doi.org/10.1007/978-981-15-0058-9_29
Publisher Name: Springer, Singapore
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