mlsanityData to 7 Oct 2026

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

arXiv 2407.11549 ↗First posted 16 Jul 2024cs.CL cs.AIcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 8 of its 47 references that are in the map. First posted on arXiv 16 Jul 2024.

Builds on

8 of 47 references.

References · 8

  1. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  2. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 300
  3. 2023Proving Test Set Contamination in Black Box Language Modelscited by 227
  4. 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 202
  5. 2021Understanding the Capabilities, Limitations, and Societal Impact of Large Language Modelscited by 159
  6. 2018Decoupling Strategy and Generation in Negotiation Dialoguescited by 156
  7. 2024Evaluating Language Model Agency through Negotiationscited by 43
  8. 2018Polarity and Intensity: the Two Aspects of Sentiment Analysiscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 6.

9 papers.

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  1. 2026Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution
  2. 2026Effects of personality steering on cooperative behavior in Large Language Model agents
  3. 2025Identifying Cooperative Personalities in Multi-agent Contexts through Personality Steering with Representation Engineering
  4. 2026Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents
  5. 2024Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
  6. 2026Structured Personality Control and Adaptation for LLM Agents
  7. 2025The Impact of Big Five Personality Traits on AI Agent Decision-Making in Public Spaces: A Social Simulation Study
  8. 2024The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games