Generative AI in Procedural Content Generation for Computer Games: Key Contributions and Trends

Generative Artificial Intelligence (GenAI) is revolutionizing Procedural Content Generation (PCG) in computer games by enabling the automated creation of diverse, adaptive, and complex game elements. Traditional PCG methods rely on predefined rules and randomness, whereas GenAI introduces machine learning-based approaches that enhance creativity and responsiveness in game design. This paper provides a comprehensive review of GenAI applications in PCG for computer games, discussing its advantages, limitations, and key research challenges. Additionally, we propose future directions for integrating GenAI with human-driven game design to balance automation and artistic control in gaming environments.