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Research on the Strategy of Bidding in the Game of Dou dizhu.

Lijia Guo, Yuanhan Gong,Shuqin Li, Rongcheng Guo

2021 3RD INTERNATIONAL CONFERENCE ON MACHINE LEARNING, BIG DATA AND BUSINESS INTELLIGENCE (MLBDBI 2021)(2021)

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摘要
As an important field of artificial intelligence, computer game is an important platform for testing the development level of artificial intelligence. In the field of incomplete information of computer games, Dou dizhu game is typical. Bidding is a key link in the game, in which the strategy of bidding plays an important role in the outcome of the game. In this paper, the problem of bidding in Dou dizhu game is studied, and the definition of points representing the quality of hand card is given. Firstly, according to the hand card information, the split priority is set according to different card types, so as to obtain different card splitting schemes, and the hand score of each card splitting scheme is calculated. The scheme with the lowest score is the optimal card splitting scheme. Then, according to this score, the corresponding bidding is given. The experiment is compared with a large number of real-life data, and the results show that the matching degree is 85%, which shows that the scheme proposed in this paper is feasible.
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关键词
Dou dizhu game,Bidding strategy,Incomplete information game
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