Value-Based Large Language Model Agent Simulation for Mutual Evaluation of Trust and Interpersonal Closeness

TL;DR

This paper explores how value similarity affects trust and closeness between LLM agents, demonstrating that higher value similarity leads to stronger relationships, and establishes LLMs as a useful tool for social science research.

Contribution

It introduces a novel simulation framework for studying social phenomena with LLM agents, focusing on value-based relationship dynamics across languages.

Findings

Higher value similarity increases mutual trust.

Language dependence affects relationship evaluation.

LLM simulations can test social science theories.

Abstract

Large language models (LLMs) have emerged as powerful tools for simulating complex social phenomena using human-like agents with specific traits. In human societies, value similarity is important for building trust and close relationships; however, it remains unexplored whether this principle holds true in artificial societies comprising LLM agents. Therefore, this study investigates the influence of value similarity on relationship-building among LLM agents through two experiments. First, in a preliminary experiment, we evaluated the controllability of values in LLMs to identify the most effective model and prompt design for controlling the values. Subsequently, in the main experiment, we generated pairs of LLM agents imbued with specific values and analyzed their mutual evaluations of trust and interpersonal closeness following a dialogue. The experiments were conducted in English and Japanese to investigate language dependence. The results confirmed that pairs of agents with higher value similarity exhibited greater mutual trust and interpersonal closeness. Our findings demonstrate that the LLM agent simulation serves as a valid testbed for social science theories, contributes to elucidating the mechanisms by which values influence relationship building, and provides a foundation for inspiring new theories and insights into the social sciences.