What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents

TL;DR

This paper presents CosmoAgent, an LLM-based system for simulating interactions between diverse extraterrestrial civilizations, introducing a mathematical model and state transition approach to analyze their development and inter-civilizational dynamics.

Contribution

It introduces a novel LLM-based simulation framework for modeling alien civilizations with diverse worldviews and ethical paradigms, including a mathematical model and interaction analysis.

Findings

Quantitative analysis of civilization growth trajectories

Insights into decision-making at critical development points

Simulation of interactions between civilizations with different moral systems

Abstract

This study introduces "CosmoAgent," an innovative artificial intelligence system that utilizes Large Language Models (LLMs) to simulate complex interactions between human and extraterrestrial civilizations. This paper introduces a mathematical model for quantifying the levels of civilization development and further employs a state transition matrix approach to evaluate their trajectories. Through this methodology, our study quantitatively analyzes the growth trajectories of civilizations, providing insights into future decision-making at critical points of growth and saturation. Furthermore, this paper acknowledges the vast diversity of potential living conditions across the universe, which could foster unique cosmologies, ethical codes, and worldviews among different civilizations. Recognizing the Earth-centric bias inherent in current LLM designs, we propose the novel concept of using LLM agents with diverse ethical paradigms and simulating interactions between entities with distinct moral principles. This innovative research not only introduces a novel method for comprehending potential inter-civilizational dynamics but also holds practical value in enabling entities with divergent value systems to strategize, prevent conflicts, and engage in games under conditions of asymmetric information. The accompanying code is available at https://github.com/MingyuJ666/Simulating-Alien-Civilizations-with-LLM-based-Agents.