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Workshop: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design

Setting Switcher: Changing genre-settings in text-based game environments populated by generative agents

Oliver Wood · Rebecca Fiebrink

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Sat 16 Dec 1:30 p.m. PST — 2:30 p.m. PST


We have developed an LLM-based agent for manipulation of text-based game environments, and generative agents within them, to convincingly alter the genre-setting of a game with respect to pre-existing lore and in-game mechanics. We contribute a novel, tested, LLM-based agent for this purpose: a `Setting-Switcher' agent. This agent opens a range of creative applications and possibilities: our agent can be used as an ideation and productivity tool, deployed within a player focused in-game feature, and used in tandem with other state-of-the-art technologies for application in visual game environments. Our investigation has highlighted the effectiveness of LLM-powered agents beyond conventional text generation and task completion: showcasing their value in crafting coherent narratives, portraying complex characters, and facilitating emergent storytelling within game settings.

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