用多个LLM代理模拟团队旅行规划讨论，自动协调偏好与约束。
AI Tour Meeting: Group Travel Planning by LLM Agents
- 多个带人格设定的LLM代理通过自然语言协作规划行程。
- 支持配置代理角色、对话流程与运行监控，实现灵活调度。
- 适合研究多智能体协作或旅行规划系统设计的学者使用。
本文提出AI Tour Meeting，一个由多个基于大语言模型（LLM）的智能体驱动的团体旅行规划框架。这些智能体具备不同人格特征，通过自然语言讨论协作生成满足各自约束与偏好的行程方案。该框架提供接口用于配置代理人格、讨论流程、监控及LLM部署，实现便捷灵活的协同调度。主要用途是作为模拟工具，分析多个LLM代理在旅行规划讨论中的行为表现。论文通过系统验证与若干分析结果展示了该框架的有效性。
原文摘要 · Abstract (English)
This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct personas and collaboratively seek an itinerary that satisfies their constraints and preferences through natural language discussion. The framework enables easy and flexible orchestration of such discussions by providing interfaces for configuring agent personas, discussion workflows, monitoring, and LLM deployment. Its primary use case is a simulation tool for analyzing the behavior of multiple LLM agents during tour planning discussions. This paper demonstrates the utility of the framework by presenting system validation and several analytical results obtained by the framework.
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