Exploring the Potential of Conversational AI Support for Agent-Based Social Simulation Model Design

TL;DR

This paper explores how conversational AI like ChatGPT can assist in designing agent-based social simulation models, demonstrating its potential to streamline development and foster innovation in the field.

Contribution

It introduces a novel prompt engineering approach that enables CAIS to support ABSS model design, filling a gap in current research.

Findings

CAIS can facilitate rapid ABSS model conceptualization

The approach reduces the need for extensive upfront knowledge

Demonstrated with a case study on museum architecture impact

Abstract

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. This paper takes a crucial first step toward exploring the untapped potential of this emerging technology in the context of ABSS model design. The research presented here 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 conceptual ABSS models with or by the CAIS. A proof-of-concept application of the prompt script, used to generate the conceptual ABSS model for a case study on the impact of adaptive architecture in a museum environment, illustrates the practicality of the approach. Despite occasional inaccuracies and conversational divergence, the CAIS proved to be a valuable companion for ABSS modellers.