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.

翻译：心理学证据揭示了人格特质对决策的影响。例如，宜人性通常与谈判中的积极结果相关，而神经质则常与不利结果相关联。本文提出了一种以大语言模型智能体为核心的模拟框架，这些智能体被赋予合成的人格特质。智能体在议价领域内进行谈判，并具有可定制的人格特征与目标。实验结果表明，基于大语言模型的模拟行为倾向能够复现人类谈判中观察到的行为模式。本研究的贡献体现在两个方面：首先，我们提出了一种模拟方法，用于探究大语言模型智能体的语言能力与经济行为之间的对齐程度；其次，我们为大五人格特质对双边谈判结果的策略性影响提供了实证依据。此外，我们还通过基于合成议价对话的案例研究，揭示了包括欺骗性与妥协性行为在内的多种有趣行为模式。