About AI Games
92 Jeeto AI aims to enhance gameplay by adding realism and challenge through non-player character behavior that reacts to player action, enemy characters that use tactical decision-making, dynamic in-game events, and more. In addition to providing a more immersive and realistic gaming experience, AI can also help make games more challenging by creating autonomous opponents that adjust to the player’s skill level.
One of the most advanced uses of AI in video games is through generative gameplay. Generative AI games create a unique gameplay experience each time the game is played by utilizing an algorithm to generate worlds, objects, resources, and challenges. Players then interact with these environments and create a unique story each time they play the game.
Training AI With Player Input
Some examples of generative AI in video games include the open-world role-playing game Minecraft, where players can build an infinite number of different landscapes with varying terrain and resource availability, and the text-based adventure game AI Dungeon, which utilizes GPT-3 to generate endless narrative possibilities based on player input. Other games use generative AI to add a level of immersion and interactivity by using the technology to power companions or in-game chatbots.
Developers have traditionally been a bit wary of incorporating game AI that is nondeterministic, although this attitude is slowly changing. This is partly due to the fact that unpredictable game AI can make a title feel less immersive and more like a piece of software rather than a living, breathing world. Additionally, developers are often faced with short development periods, making it difficult to test and debug AI that is not completely deterministic.