環境冒險：教導 ChatGPT 開發複雜故事

Ambient Adventures: Teaching ChatGPT on Developing Complex Stories

August 3, 2023

作者: Zexin Chen, Eric Zhou, Kenneth Eaton, Xiangyu Peng, Mark Riedl

cs.AI

摘要

想像遊戲是創造力的一個領域，可以讓機器人以更具拟人化的方式與周遭世界互動。想像遊戲可被視為將真實物件和地點，用於虛擬情境中作為想像物件和地點。我們採用了大型語言模型（LLMs）的故事生成能力，以獲取用於與人類寫作提示進行想像遊戲的故事。這些生成的故事將被簡化並映射為可引導代理人進行想像遊戲的動作序列。為了評估代理人是否能成功完成想像遊戲，我們還設計了一個文字冒險遊戲，模擬一個房子作為代理人互動的遊樂場。

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.