Intelligent battling role control system and method in table tennis game

Abstract

The invention provides an intelligent battling role control system and method in a table tennis game. The system comprises an information interaction module and a logical operation module, wherein the information interaction module is used for receiving a ball hitting request which is transmitted to non-user controlled roles, wherein corresponding grade marks to the various non-user controlled roles, generating a calling command in accordance with the ball hitting request so as to obtain an aiming result, acquiring response action data for displaying simulated operating behaviors on balls and/or cues on a display interface in accordance with the aiming result, and outputting the response action data; and the logical operation module is used for receiving the calling command, calling an aiming operation unit which is in correspondence to the grade marks and is used for computing the aiming result in accordance with the grade marks of the non-user controlled roles, and generating the aiming result. In the mode of being independent of client and server-side settings or preferably embedded in the server-side setting, the control system ad the control method can conveniently regulate and configure AI (artificial intelligence) data timely in accordance with operation and product requirements.

Description

technical field [0001] The present invention relates to artificial intelligence (AI, Artificial Intelligence) technology in billiard games, in particular to an intelligent battle role control system and method in billiard games. Background technique [0002] There are a large number of billiard games on the market now, only a few games of Liao Liao are equipped with special AI modules for gamers to choose to play against, and these AI modules themselves are generally based on a single AI algorithm, which cannot be achieved when playing against users. Anthropomorphism pretends to be a normal user to fight against players. The output of the AI ​​​​module is single, and the correct goal rate is too low or the degree of intelligence is low. Usually it is a pre-set single algorithm or a single operation result, which cannot be based on the actual situation. Differential output of the response action data; moreover, the current common practice is to embed the AI ​​module directly ...

AI Technical Summary

Problems solved by technology

[0002] There are a large number of billiard games on the market now, only a few games of Liao Liao are equipped with special AI modules for gamers to choose to play against, and these AI modules themselves are generally based on a single AI algorithm, which cannot be achieved when playing against users. Anthropomorphism pretends to be a normal user to fight against players. The output of the AI ​​​​module is single, and the correct goal rate is too low or the degree of intelligence is low. Usually it is a pre-set single algorithm or a single operation result, which cannot be based on the actual situation. Differential output of the response action data; moreover, the current common practice is to embed the AI ​​module directly into the client, so the server administrator cannot make random adjustments to the AI ​​module during later maintenance, so it needs to be further improved. AI technology

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