The proliferation of artificial intelligence in video games has ushered in a new era of immersive, intelligent gameplay. In-game AI allows players to experience unprecedented levels of realism and interactivity, and provides a more personalized challenge by dynamically adapting game difficulty. It also enhances character and opponent behavior with pathfinding algorithms, reinforcement learning, and more. In addition, AI for gaming helps streamline production with procedural content generation and enables data-driven monetization strategies. This link :

Some games, such as Chess and Go, are so complex that humans have yet to find a strategy to beat them. To analyze all the possible game states, even with a supercomputer, would take 1050 cups of coffee (that’s a 1 followed by 50 zeros). Instead, these games use AI techniques that discover patterns and rules without exhaustively exploring every possibility.

Designing AI for Cooperative Player Experiences

One such technique is Behaviour Trees, which allow developers to design AI decision-making processes for in-game characters and enemies. For example, an enemy may decide whether to attack or flee based on player input and pre-set logic.

Another popular AI technology for video games is image recognition, which lets AI analyze and respond to game images. For example, an AI can scan the screen for enemy or environment features and react to them in a human-like way. This technology is particularly useful for first-person shooter games, where the AI can scan for cover in a firefight or check for nearby health before taking an action that might leave it exposed.