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Game AI decision configuration method and device based on macroscopic and microscopic strategies

A technology for configuring devices and strategies, applied in the field of artificial intelligence training, can solve problems such as the inability to adjust AI character control strategies

Pending Publication Date: 2022-03-08
成都潜在人工智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, when the server controls the AI ​​character, it mainly operates according to the established control strategy, and the server cannot adjust the control strategy of the AI ​​character according to the progress of the game.

Method used

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  • Game AI decision configuration method and device based on macroscopic and microscopic strategies
  • Game AI decision configuration method and device based on macroscopic and microscopic strategies

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Embodiment Construction

[0023] The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.

[0024] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0025] Please see figure 1 , figure 1 It is a schematic flowchart of a game AI decision-making configuration method based on macro and micro strategies provided by an embodiment of the present invention.

[0026] In one implementation, the embodiment of the present invention provides a game AI decision configuration method based on macro and micro strategies, and the spe...

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Abstract

The invention provides a game AI decision configuration method and device based on a macroscopic and microscopic strategy. The method comprises the steps that S1, a strategy model needing to be executed by a current AI role is obtained according to the game running time stage and state information of the current AI role; s2, extracting view map information and global environment information of the current AI role, and analyzing an advancing route of executing the strategy model by the current AI role according to the view map information and the global environment information; s3, controlling the current AI role to go to a target area according to the advancing route under the control of the strategy model; and S4, when the current AI role arrives at the target area, calling an operation model required for executing the strategy model to control the current AI role to act, and adjusting the control strategy of the AI role in time according to the dynamic change of the game progress.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence training, in particular to a game AI decision-making configuration method and device based on macro and micro strategies. Background technique [0002] Currently, in MOBA games, players are usually divided into two teams of symmetrical numbers, and control their chosen characters in an RTS-style interface. As the game progresses, players need to strengthen the characters they control through character upgrades, skill upgrades, or purchase and upgrade equipment, in order to kill the opponent and eventually overthrow the opponent's lineup base to win the game. In order to help players train, such games usually have an AI character simulation battle mode, where AI characters controlled by the server play against players. However, at present, when the server controls the AI ​​character, it mainly performs actions according to a predetermined control strategy, and the server ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63F13/822A63F13/67A63F13/79
CPCA63F13/822A63F13/67A63F13/79A63F2300/807A63F2300/6009A63F2300/55
Inventor 尹学渊雷佩鑫
Owner 成都潜在人工智能科技有限公司
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