ChatGPT, the AI-powered chatbot with a massive user base of hundreds of
millions, has become a global phenomenon. However, the use of Conversational AI
Systems (CAISs) like ChatGPT for research in the field of Social Simulation is
still limited. Specifically, there is no evidence of its usage in Agent-Based
Social Simulation (ABSS) model design. While scepticism towards anything new is
inherent to human nature, we firmly believe it is imperative to initiate the
use of this innovative technology to support ABSS model design. This paper
presents a proof-of-concept that demonstrates how CAISs can facilitate the
development of innovative conceptual ABSS models in a concise timeframe and
with minimal required upfront case-based knowledge. By employing advanced
prompt engineering techniques and adhering to the Engineering ABSS framework,
we have constructed a comprehensive prompt script that enables the design of
ABSS models with or by the CAIS. The effectiveness of the script is
demonstrated through an illustrative case study concerning the use of adaptive
architecture in museums. Despite occasional inaccuracies and divergences in
conversation, the CAIS proved to be a valuable companion for ABSS modellers.

通过通过先进的提示工程技术和遵循工程 ABSS 框架，本文构建了一种综合的提示脚本，使得能够通过或与 CAIS 设计 ABSS 模型，并通过关于在博物馆中使用自适应架构的案例研究证明了该脚本的有效性，尽管在对话中偶尔出现不准确和分歧，但 CAIS 在 ABSS 模型设计中证明是一位有价值的伴侣。