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How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models

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arxiv 2407.11549 v2 pith:EFHEOABS submitted 2024-07-16 cs.CL cs.AI

classification cs.CLcs.AI
keywords outcomespersonalitytraitsagentsnegotiationssimulationbargainingbehavioral
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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.

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  1. SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation

    cs.CY 2025-04 conditional novelty 4.0 of 10

    SOTOPIA-S4 packages a social simulation engine with a web interface, REST API, asynchronous multi-party turn-taking, and customizable LLM-based evaluation for non-programmers.

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