Game Generation

Game generation research focuses on automating the creation of game content, rules, and even entire game designs, aiming to enhance game development efficiency and creativity. Current approaches leverage various machine learning techniques, including large language models (LLMs) for generating game descriptions and rules, evolutionary algorithms for exploring the vast space of possible game designs, and diffusion models for generating game assets. This field is significant because it promises to accelerate game development, explore novel game mechanics, and provide valuable tools for game designers, potentially leading to more diverse and engaging gaming experiences.