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Big-data-driven mahjong artificial intelligence algorithm

A big data-driven, artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems that the mahjong AI system cannot achieve smartness, AI "mistakes" and other problems, and achieve the effect of increasing playability

Pending Publication Date: 2019-11-22
HANGZHOU BIANFENG NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the above-mentioned limitations, the mahjong AI system using previous algorithms cannot achieve sufficient "smartness", that is, the AI ​​at this time is at a different level from other participants
Under the guidance of this algorithm, AI is prone to "mistakes" in issuing cards

Method used

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  • Big-data-driven mahjong artificial intelligence algorithm

Examples

Experimental program
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Embodiment Construction

[0086] Extract the nodes that meet the characteristics of the nodes in the history of the game, including: the hand's direction decreases; the hand's direction increases; the action of eating, pong or kong is performed; and the card is improved. Compress the extracted hand card data of the node and the secondary data corresponding to the hand card data to obtain the hash value corresponding to the node hand card.

[0087] The compression process of the opponent's cards includes the following steps:

[0088] (1) Group the hand cards according to suits, bars, cylinders, wind cards and arrow cards;

[0089] (2) Sort each group of cards in ascending order in the group, for example, after sorting, it becomes 1, 3, 4, 5, 8, 80,000;

[0090] (3) Numbers are used to indicate the number of occurrences of each type of card, and "0" is used to indicate the number of cards that do not appear. If the above card type is changed to "101110020";

[0091] (4) Determine whether there are multip...

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Abstract

The invention relates to the technical field of artificial intelligence, and aims to provide a big-data-driven mahjong artificial intelligence algorithm, which can find a specific solution under limited resources. According to the big-data-driven mahjong artificial intelligence algorithm, a method comprises the following steps: mahjong tile playing processes in historical mahjong tile games are selected; node mahjong tiles in the tile playing processes are extracted and stored according to constituent components to serve as behavior guide of AI; and the AI performs mahjong tile playing based on the behavior guide according to the node components of the current mahjong tiles.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a mahjong artificial intelligence algorithm driven by big data. Background technique [0002] Chess and board games are divided into two situations: data symmetry and data asymmetry. In the case of data symmetry, such as chess, the state of all chess is clear, and the only factor that affects the winning rate is decision-making. In the case of unlimited computing resources, the optimal solution can be obtained. Therefore, chess such as chess needs to be done in the case of limited resources. Prune as much as possible to find a local optimal solution. In the case of data asymmetry, such as in the Doudi Zhu (three-player) chess game, the hidden cards are the cards of other opponents. Every time the opponent plays a card, the number of unknown cards drops rapidly, and the dimension of the unknown space that the machine needs to consider will vary with time. ...

Claims

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Application Information

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IPC IPC(8): A63F13/67A63F13/77G06Q10/04
CPCA63F13/67A63F13/77G06Q10/04Y02D10/00
Inventor 尹鹏程徐明胜
Owner HANGZHOU BIANFENG NETWORK TECH
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