AI Games use generative technology to create immersive, dynamic experiences. The generative nature of the AI means that players can explore the world & interact with non-player characters (NPCs) in ways that would be impossible without the game’s underlying technology. This level of interactivity & freedom allows for more human-like NPCs, leading to increased player immersion. Gamers also enjoy trolling AI NPCs to see how well they can perform, adding an additional layer of realism & challenge to the gaming experience.This link :

There are a variety of AI games on the market. Some are focused on demonstrating the power of artificial intelligence and others are simply fun to play. These games are a great way to get acquainted with the different applications of AI in video game design and development.

AI for Combat Systems in Games

Using AI in a video game is challenging because it involves more than just coding a robot to follow simple commands. The game must also incorporate a navmesh to allow the robot to navigate the environment. This is a complex process that must be handled by multiple algorithms, including a depth map, feature map, a physics engine, and an AI system.

One example of a AI game is The Machine That Learned to Love, which uses a natural language processing algorithm to simulate Rogerian therapy. It is a successor to the original ELIZA, which was created in 1963. The Machine That Learned to Love is a good choice for students studying future roles of artificial intelligence in the workplace because it offers an easy-to-understand introduction to the technology.