The convergence of artificial intelligence with tabletop role-playing games has introduced a novel approach to game management. This involves utilizing computational systems to fulfill the role traditionally held by a human Dungeon Master, thereby automating aspects of narrative control, encounter generation, and non-player character interaction within a Dungeons & Dragons campaign. For example, a software program could dynamically adjust the difficulty of a combat encounter based on the player characters’ performance.
This approach offers several advantages, including increased accessibility for solo players or groups lacking a dedicated game master, and the potential for highly customized and adaptive gameplay experiences. Its historical roots lie in the broader adoption of procedural content generation and AI-driven storytelling within the gaming industry, adapting these techniques to the specific nuances of tabletop role-playing.