人工智能旅游会议：基于大语言模型代理的团体旅行规划
AI Tour Meeting: Group Travel Planning by LLM Agents
- NTT, Inc.（日本电报电话公司）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
提出基于大语言模型代理的团体旅行规划框架AI Tour Meeting，通过自然语言讨论找满足约束和偏好的行程，提供相关配置接口实现灵活编排，可作模拟工具，还展示了系统验证等结果以证明其效用。
AI中文摘要：
本文提出了人工智能旅游会议，这是一个由多个基于大语言模型（LLM）的代理驱动的团体旅行规划框架。这些代理被实例化为不同的角色，并通过自然语言讨论协作寻找满足其约束和偏好的行程。该框架通过提供配置代理角色、讨论工作流程、监控和LLM部署的接口，实现了此类讨论的轻松灵活编排。其主要用例是一个模拟工具，用于分析旅行规划讨论期间多个LLM代理的行为。本文通过展示系统验证和该框架获得的几个分析结果，证明了该框架的实用性。
英文摘要：
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.
