Year: 2025
Type: preprint
Abstract: With the rapid advancement of Large Language Models (LLMs), LLM-based autonomous agents have shown the potential to function as digital employees, such as digital analysts, teachers, and programmers. In this paper, we develop an application-level testbed based on the open-source strategy game "Unciv", which has millions of active players, to enable researchers to build a "data flywheel" for studying human-like agents in the "digital players" task. This "Civilization"-like game features expansive decision-making spaces along with rich linguistic interactions such as diplomatic negotiations and acts of deception, posing significant challenges for LLM-based agents in terms of numerical reasoning and long-term planning. Another challenge for "digital players" is to generate human-like responses for social interaction, collaboration, and negotiation with human players. The open-source project can be found at https:/github.com/fuxiAIlab/CivAgent.
Source: arXiv (Cornell University)
Authors: Wang, Jiawei, Wang, Kai, Lin, Shaojie, Wu, Runze, Xu, Bihan, Jiang, Lingeng, Zhao, Shiwei, Zhu, Renyu, Liu, Haoyu, Hu, Zhipeng, Fan, Zhong, Li, Le, Lyu, Tangjie, Fan, Changjie
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6966912792
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