  Psychological evidence reveals the influence of personality traits on
decision-making. For instance, agreeableness is generally associated with
positive outcomes in negotiations, whereas neuroticism is often linked to less
favorable outcomes. This paper introduces a simulation framework centered on
Large Language Model (LLM) agents endowed with synthesized personality traits.
The agents negotiate within bargaining domains and possess customizable
personalities and objectives. The experimental results show that the behavioral
tendencies of LLM-based simulations could reproduce behavioral patterns
observed in human negotiations. The contribution is twofold. First, we propose
a simulation methodology that investigates the alignment between the linguistic
and economic capabilities of LLM agents. Secondly, we offer empirical insights
into the strategic impact of Big-Five personality traits on the outcomes of
bilateral negotiations. We also provide a case study based on synthesized
bargaining dialogues to reveal intriguing behaviors, including deceitful and
compromising behaviors.
