Game role behavior algorithm based on genetic algorithm

Abstract

The invention discloses a game role behavior algorithm based on a genetic algorithm. According to the technical scheme, the game role behavior algorithm is characterized by comprising the steps of obtaining preset development logic; defining an automatic inference model through NPC; calling a development component, generating a logic node tree comprising an algorithm calling function by utilizing the development logic of the development component, and calling a preset reinforcement learning algorithm model by utilizing the development logic; obtaining a game task distribution system based on big data; acquiring role behavior characteristics and role attribute characteristics of the to-be-identified user in the game; creating an original game scene according to a preset process generation algorithm; utilizing a genetic algorithm to train a neural network to control game role behaviors; carrying out game behavior prompting; carrying out mobile game payment account behavior data processing; and controlling a game NPC behavior. According to the method, the decision has better adaptive capacity, the behavior decision can be changed along with the change of the environment, and the game NPC behavior and the game role behavior can be controlled.

Description

technical field [0001] The invention relates to the game field, in particular to a game character behavior algorithm based on a genetic algorithm. Background technique [0002] With the development of game 3D technology and physical simulation technology, the future game industry that can be seen will gradually occupy people's leisure time. In recent years, some game masterpieces have also slowly entered the market, and whether the behavior of autonomous characters in the game has the ability to change behavior patterns has always been a concern of players. At present, most game AIs are mostly implemented through finite state machines. The realization of this method requires designers to design a complete set of behavioral logic, and at the same time, various transition conditions need to be considered. The advantage lies in stability, and the disadvantages are also obvious. The behavior is predictable, and there will be situations that human beings cannot consider, which w...

AI Technical Summary

Problems solved by technology

However, it still has some shortcomings, such as: the behavior control of game characters cannot be realized, and the decision-making is single, the decision-making lacks adaptability, the behavior decision-making cannot be changed as the environment changes, and the behavior of game NPCs and game characters cannot be controlled.

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