From the 1980s arcade favorite Pac-Man, to modern open-world games like Bioshock: Infinite, gaming has used AI to create more lifelike environments. In addition to simple pathing algorithms and state machines, the most advanced AI in video games utilizes machine learning to constantly learn from the player’s behavior, create a sense of uncertainty, and improve performance. Source:freewebz.com

Procedural Content Generation:

Game AI can help create new content, quests, and storylines to keep players engaged in the action. For example, in No Man’s Sky, advanced AI controls the system that generates planets, ecosystems, and creatures procedurally, allowing each player to experience an expansive and unique universe each time they play.

Generative AI:

A game’s NPCs can also be more expressive and natural using generative AI. For instance, a team at Rikkyo University in Japan is creating NPCs that speak with non-scripted dialogue and have body gestures that feel more realistic. This type of AI will make NPCs more relatable and interesting, adding depth to the gameplay.

AI that supports the player

Increasingly, gamers are seeking more personalized experiences. They want to hear the right voice from the character they’re playing, and they expect a game to respond to their performance with customized rewards, quests, and interactions. Gen AI can use machine learning to quickly and iteratively develop personalized content in real-time, helping games deliver a more personalized and immersive experience for every player.