Proceedings of the 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017)

Research on Hand Discrimination for Doudizhu Game

Authors
Yipeng Zhang, Zipeng Chen, Lanzhou Zheng, Zhangfei Zhang, Meng Ding, Kun Meng, Shuqin Li
Corresponding Author
Yipeng Zhang
Available Online December 2017.
DOI
https://doi.org/10.2991/icemaess-17.2017.97How to use a DOI?
Keywords
Coequal hand quality; Mean value; Standard deviation; Affility propogation algorithm; Inter-cluster average Kullback-Leibler divergence.
Abstract
The concept of coequal hand quality is proposed in this paper to judge the fairness while dealing cards in compound Doudizhu competitions, along with two coequal quality hand cassifiying solutions. The first one is to classify the hands according to mean values and standard deviation among scores of landlord-role players in gaming data, while the second one focuses on dimensionality reduced landlord-role player score probability distribution and a staged clustering algorithm. Experiment confirmed, the dimensionality reduced probability distribution based staged clustering classifying solution performs much better than the statistical solution.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yipeng Zhang
AU  - Zipeng Chen
AU  - Lanzhou Zheng
AU  - Zhangfei Zhang
AU  - Meng Ding
AU  - Kun Meng
AU  - Shuqin Li
PY  - 2017/12
DA  - 2017/12
TI  - Research on Hand Discrimination for Doudizhu Game
BT  - Proceedings of the 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017)
PB  - Atlantis Press
SP  - 443
EP  - 446
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-17.2017.97
DO  - https://doi.org/10.2991/icemaess-17.2017.97
ID  - Zhang2017/12
ER  -