Author: Zen and the Art of Computer Programming
1.1 Features of game AI
In traditional games, characters are usually static pictures or graphics, which respond to action commands to achieve certain game effects. Game AI (Artificial Intelligence) can be regarded as a computing model. It imitates human behavior and can simulate various decisions of characters in the game world, so as to continuously upgrade the gameplay. The goal of the artificial intelligence game system based on deep learning is to build a game system with strong learning ability, high real-time response ability and autonomous decision-making ability. Its characteristics are as follows:
- Imitation of human learning ability: Game AI based on deep learning technology can imitate human learning process, first observe the environment, analyze the rules of the game, then take appropriate actions according to the observed situation, and finally feed back its own behavior to the environment to continuously optimize the learning effect.
- High real-time responsiveness: Behaviors in the game require real-time response, so it is necessary to ensure real-time recognition and decision-making, without delay or even freezing.
- Independent decision-making ability: Game AI systems need to have independent learning and decision-making capabilities, and be able to complete tasks independently without being disturbed by the game world.
- Effective response in complex game scenarios: The AI system in the game needs to be able to handle complex game scenarios, including complex terrain, dynamic objects, multiple enemies, etc., and take these factors into consideration. At the same time, it is also necessary to consider how to make AI's decision-making more accurate.
1.2 Deep Learning Technology
Deep learning (Deep Learning) is a branch of machine learning, which refers to a set of technologies that use multi-layer neural networks to learn, predict, classify and analyze input data. This technology can solve many problems in the fields of computer vision, speech recognition, text understanding and so on. At present, deep learning technology has gradually become the mainstream technology in the field of game AI.
- Convolutional Neural Network (Convolutional