Creating game worlds has become easier thanks to procedural generation powered by artificial intelligence. This technology allows you to automatically create unique locations, maps and objects that are not repeated. This approach saves developers time and opens up opportunities to create massive virtual worlds. According to Afanasyev, automating these processes helps focus on creating the plot and key elements of the game.
Artificial intelligence improves the behavior of non-player characters (NPCs). If before each character’s reaction had to be written manually, algorithms now allow NPCs to analyze and adapt to the player’s actions. For example, in fighting games, characters can make the game more challenging and interesting by changing tactics. Afanasiev noted that tools like Unity ML-Agents were used to create worlds for these missions, DeepMind’s AlphaZero to structure NPC behavior, and GPT-5 neural network and Claude to create dialogues.
Analyzing player behavior is another area where AI benefits. Developers collect data on user actions using algorithms to better understand their preferences. This helps you balance the game, adjust the difficulty of levels, and predict what content will be popular. This approach makes games more entertaining and audience-oriented.
AI also simplifies the process of localizing and translating games. Although human supervision is still required, AI is already providing acceptable translation quality and reducing costs. Afanasiev stated that the automation of testing and research emulation was also largely done with the help of artificial intelligence, which accelerated development. Rendering of textures, models, and voice acting also became faster, allowing developers to focus on the story.
Artificial intelligence technologies continue to change the gaming industry, making the development process faster and more accessible. They help create quality content, improve interaction with players, and create new opportunities for studios of all sizes.
Source: Ferra
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