Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
August 03, 2023 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Zexin Chen, Eric Zhou, Kenneth Eaton, Xiangyu Peng, Mark Riedl
arXiv ID
2308.01734
Category
cs.CL: Computation & Language
Cross-listed
cs.HC
Citations
11
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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.
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