MIND: Multi-agent inference for negotiation dialogue in travel planning

Hunmin Do; Taejun Yoon; Kiyong Jung

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arXiv · 2603.21696

MIND: Multi-agent inference for negotiation dialogue in travel planning

Hunmin Do·Taejun Yoon·Kiyong Jung

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Abstract

While Multi-Agent Debate (MAD) research has advanced, its efficacy in coordinating complex stakeholder interests such as travel planning remains largely unexplored. To bridge this gap, we propose MIND (Multi-agent Inference for Negotiation Dialogue), a framework designed to simulate realistic consensus-building among travelers with heterogeneous preferences. Grounded in the Theory of Mind (ToM), MIND introduces a Strategic Appraisal phase that infers opponent willingness (w) from linguistic nuances with 90.2% accuracy. Experimental results demonstrate that MIND outperforms traditional MAD frameworks, achieving a 20.5% improvement in High-w Hit and a 30.7% increase in Debate Hit-Rate, effectively prioritizing high-stakes constraints. Furthermore, qualitative evaluations via LLM-as-a-Judge confirm that MIND surpasses baselines in Rationality (68.8%) and Fluency (72.4%), securing an overall win rate of 68.3%. These findings validate that MIND effectively models human negotiation dynamics to derive persuasive consensus.

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Hunmin Do, Taejun Yoon, Kiyong Jung. 2026-03-23. MIND: Multi-agent inference for negotiation dialogue in travel planning. https://arxiv.org/abs/2603.21696

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