Ubisoft has announced that it will replace non-player characters (NPCs) in its games with state-of-the-art artificial intelligence (AI). This decision marks a major breakthrough in the video game industry. It promises to deliver a more immersive and realistic gaming experience for players.
Ubisoft, the video game industry, has indicated a major change in its approach to the creation of non-player characters (NPCs). The company plans to replace traditional NPCs with state-of-the-art artificial intelligence (AI). This offers a more immersive and realistic gaming experience for players. The company hopes to offer players more realistic interactions and personalized interactions with their game characters.
Ubisoft uses Ghostwriter AI to create more realistic NPCs
Ghostwriter, created by Ubisoft, is an in-house AI tool for improve NPC dialogue writing in their video games. In collaboration with scriptwriters, Ghostwriter was designed to generate dialogue variants and create more realistic interactions between non-player characters. The tool makes it possible to diversify dialogues and enhance the player’s immersion in the game world. This frees up time for developers to concentrate on other essential elements of the game. Using AI to automate repetitive tasks frees up time for the development team. It frees them allows them to concentrate on other crucial aspects of the game.
By using deep learning techniques, it is possible to find more effective solutions to various difficulties. Joshua Romoff, data expert at Ubisoft, explains how AI works and is used in their development process. Ubisoft will be able to create more lifelike NPCsexplore complex game worlds and design more human gestures.
This collaboration between AI and scriptwriters enables dialogue variants to be generated. While deep reinforcement learning offers more effective solutions to all kinds of obstacles.
Ubisoft: machine learning to improve NPC navigation
In 2021, Ubisoft outlined its plans to improve the navigation of non-player characters (NPCs) using machine learning. The project is called La Forge. Reinforcing this learning improves a given behavior by awarding or withdrawing points according to the actions performed. The AI must therefore seek the optimal score using the actions available to him.
A deep neural network analyzes the screen, reduces it to a smaller scale and integrates this data into its initiation part. All this with the help of reinforcement to perform actions according to the information received. This end-to-end system contains all the data exchanged between the various systems. With each image, the development team assigns points according to the movements made.
After this, the team carries out several iterations to train the agent to perform the desired actions. This automatic learning method thus makes it possible to optimize NPC navigation in video games.