AI construction methods and devices, game control method and device and AI system

Abstract

The invention discloses an AI construction method for a hierarchical behavior tree. The AI construction method includes the steps that AI units in a highest layer priority determine an own strategy according to current conditions, and a corresponding instruction of the determined strategy is issued to AI units in a next-layer priority; AI units in a middle-layer priority execute corresponding operation according to the received instruction issued by the previous-layer priority and then issues a corresponding instruction to AI units in a next-layer priority, wherein the middle-layer priority includes one or more layers of priorities; all AI units in a bottommost-layer priority execute corresponding operation according to the instruction issued by the previous-layer priority, wherein each AI unit in any layer priority is constructed based on the behavior tree. The invention further discloses an AI construction device for the hierarchical behavior tree, a game AI construction method and device based on the behavior tree, a game control method and device and an AI system.

Description

technical field [0001] The present invention relates to the field of game control, in particular to an AI construction method and device based on a hierarchical behavior tree, a game control method and device, and an AI system. Background technique [0002] With the development of the game industry, the importance of artificial intelligence (AI) design is increasing day by day. The earliest game, PingPong, directly uses player-versus-player as the game method, which does not require AI itself. With the development of the game industry, more and more games focus on adventure and confrontation with monsters. For example, in Super Mario (Super Mario), each mushroom, turtle, etc. has its own trajectory, and the boss will also attack according to certain rules. These are the original game AI design. In various online MMORPGs (Massively Multiplayer Online Role Play Games, massively multiplayer online role-playing games), monsters need to be controlled by AI from generation, comb...

AI Technical Summary

Problems solved by technology

exist figure 1 In such a structure, each unit has an extremely large number of operations and game states to be processed. The traditional behavior tree cannot carry such a large number of branches and nodes, and the state machine cannot estimate the corresponding state.

Faced with such a situation, whether it is a traditional behavior tree or a state machine, not only the amount of code is huge, but also the probability of bugs is very high, and it is difficult to troubleshoot

[0020] It can be seen that with the increasing development of AI today, a single AI unit without a group can no longer meet our needs. We need more complex and more group performance

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