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Machine game card playing method and system for Guan dan pokers and storage medium

A technology of playing cards and poker, which is applied in the field of system and storage media, and the machine game playing method of poker. It can solve the problems of long playing time, large memory space, and insufficient intelligence in calculating card types, and achieves short time consumption. , The effect of the simple way of matching cards

Pending Publication Date: 2021-06-25
HANGZHOU NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional calculation method of poker cards exists: it requires a large memory space, the calculation of card types is not intelligent enough, and the way of matching cards requires a combination of depth traversal and breadth traversal. Every time a card is played, there are problems such as a long time to play cards and lack of versatility.

Method used

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  • Machine game card playing method and system for Guan dan pokers and storage medium
  • Machine game card playing method and system for Guan dan pokers and storage medium
  • Machine game card playing method and system for Guan dan pokers and storage medium

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Embodiment

[0053] In this embodiment, the machine game playing method of poker is based on a Monte Carlo tree, and the energy of playing cards is calculated. First calculate the energy of the cards drawn, and calculate according to the energy calculation formula, then divide the cards into three basic effective card shapes, match the cards, and calculate the card faces. Through deep learning and training parameters, you can use a minimum The data set obtains the formula, obtains the parameters, calculates the value, and adjusts the strategy of playing cards in real time according to the value. There are three types of rules for playing cards, including playing cards, following cards, and sprinting. Invented a computing strategy based on deep learning, implemented the machine algorithm in the poker game, used the same method for the two characters of the player, and competed in the poker game with two groups of algorithms, and finally trained a more intelligent poker competition method. s...

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Abstract

The invention relates to a machine game card playing method and system for Guan dan pokers and a storage medium and belongs to the technical field of deep learning and machine game. According to the method, firstly, energy of the faces of drawn cards is calculated; calculation is performed according to an energy calculation formula; cards are divided into three basic effective card patterns; cards are distributed; the faces of the cards are calculated; parameters are trained through deep learning; a formula is obtained by using a minimum data set; parameters are obtained; values are calculated; card playing strategies are adjusted in real time according to the values, the rules of playing cards are divided into three types, including playing cards, following cards and sprint. According to the calculation strategy based on deep learning, a machine algorithm is realized in a poker game, the same method and two groups of algorithms are adopted for two roles of opponents to perform a poker game competition, and finally, a more intelligent poker competition method is trained.

Description

technical field [0001] The present invention relates to the technical fields of deep learning and machine games, and in particular, relates to a method, system and storage medium for playing poker by machines. Background technique [0002] Since the 1940s, Deep Blue and AlphaGo have attracted the attention of the whole people, and machine games have always been a touchstone for verifying computing theory and artificial intelligence theory. Computer game is an important platform for testing the level of artificial intelligence. It is a discipline that researches and develops methods, technologies and applications for simulating, extending and expanding human intelligence theory (references: Yang Shanlin, Ni Zhiwei. Machine Learning and Intelligence Decision support system [M]. Ke xue chu ban she, 2004.), machine game is known as the fruit fly of artificial intelligence (reference: Xu Yanhong. Human-machine game [J]. Art and Design, 2016(4): 150 -151.), similar to the role of...

Claims

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Application Information

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IPC IPC(8): A63F1/00G06K9/62G06N3/04G06N3/08G06N5/04
CPCA63F1/00G06N5/04G06N3/08A63F2001/005G06N3/047G06F18/24323Y02D10/00
Inventor 潘志庚孙亚文张明敏徐守江朱兆辉高和蓓
Owner HANGZHOU NORMAL UNIVERSITY