mlsanityData to 7 Oct 2026

PEMAND: Persona-Enriched Multi-Agent Negotiation for Household Decision-Making

arXiv 2604.10475 ↗First posted 12 Apr 2026cs.AIcited by 0

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

Modeling household-level decisions is central to many real-world applications, including trip planning, residential mobility and migration, disaster management, etc. Existing studies primarily rely on classical machine learning models with limited predictive capacity, while recent LLM-based approaches have yet to incorporate behavioral theory or intra-household interaction dynamics, both of which are essential for modeling realistic household decisions. To address these limitations, we propose Persona-Enriched Multi-Agent Negotiation for household Decision-making (PEMAND), a novel LLM-based framework that integrates behavioral theory into individualized, household-aware persona modeling and simulates household-level decision-making through structured multi-agent negotiation. Specifically, PEMAND transforms static sociodemographic attributes into coherent narrative profiles that explicitly encode household-level attitudes, subjective norms, and perceived behavioral controls, following our proposed Household-Aware Chain-of-Planned-Behavior (HA-CoPB) framework. Building on these theory-grounded personas, PEMAND captures real-world household decision negotiation via a structured two-phase multi-agent conversation framework with a novel persona-alignment control mechanism. Evaluated on national and regional household decision datasets across two major domains, including travel behavior and residential mobility, PEMAND consistently outperforms state-of-the-art benchmarks.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 21 of its 78 references that are in the map. First posted on arXiv 12 Apr 2026.

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21 of 78 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025PsyPlay: Personality-Infused Role-Playing Conversational Agents6 Feb
  2. 2023Character-LLM: A Trainable Agent for Role-Playing16 Oct

Other references · 19

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  4. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  5. 2023Do LLMs exhibit human-like response biases? A case study in survey designcited by 176
  6. 2024Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generationcited by 99
  7. 2023Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiationcited by 94
  8. 2023Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactionscited by 70
  9. 2025From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversationscited by 23
  10. 2024Be More Real: Travel Diary Generation Using LLM Agents and Individual Profilescited by 22
  11. 2025Population-Aligned Persona Generation for LLM-based Social Simulationcited by 20
  12. 2024Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMscited by 18
7 more
  1. 2025Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasingcited by 14
  2. 2025From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMscited by 12
  3. 2024Human Mobility Modeling with Household Coordination Activities under Limited Information via Retrieval-Augmented LLMscited by 6
  4. 2025Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modelingcited by 3
  5. 2026How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledgecited by 2
  6. 2025Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformerscited by 1
  7. 2026Can large language models interpret unstructured chat data on dynamic group decision-making processes? Evidence on joint destination choicecited by 1

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  7. 2024AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models
  8. 2025Computational Basis of LLM's Decision Making in Social Simulation