Game Log

Game logs, detailed records of player actions and game events, are increasingly valuable for analyzing and improving video games, particularly those powered by large language models (LLMs). Current research focuses on using game logs to automatically detect bugs in LLM-driven narratives, understand emergent gameplay patterns, and improve player modeling techniques, often employing deep learning architectures like convolutional neural networks and hybrid neural networks. This analysis facilitates better game design, more accurate player experience prediction, and provides insights into the capabilities and limitations of LLMs in interactive environments.