环境冒险：教授ChatGPT开发复杂故事

摘要

想象游戏是创造力的一个领域，可以让机器人以更拟人化的方式与周围世界互动。想象游戏可以被视为将真实物体和地点，并在虚拟场景中将其用作想象的物体和地点。我们采用了大型语言模型（LLMs）的故事生成能力，用于获得用于与人类编写的提示进行想象游戏的故事。这些生成的故事将被简化并映射为行动序列，可指导代理程序进行想象游戏。为了评估代理程序是否能成功完成想象游戏，我们还设计了一个文本冒险游戏，模拟房屋作为代理程序进行互动的游乐场。

English

Imaginative play is an area of creativity that could allow robots to engage with the world around them in a much more personified way. Imaginary play can be seen as taking real objects and locations and using them as imaginary objects and locations in virtual scenarios. We adopted the story generation capability of large language models (LLMs) to obtain the stories used for imaginary play with human-written prompts. Those generated stories will be simplified and mapped into action sequences that can guide the agent in imaginary play. To evaluate whether the agent can successfully finish the imaginary play, we also designed a text adventure game to simulate a house as the playground for the agent to interact.

环境冒险：教授ChatGPT开发复杂故事

Ambient Adventures: Teaching ChatGPT on Developing Complex Stories

摘要

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