AI旅遊會議：以大型語言模型智能體進行團體旅遊規劃

摘要

本文提出 AI Tour Meeting，一個由多個大型語言模型（LLM）代理驅動的團體旅遊規劃框架。這些代理以不同的角色實例化，並透過自然語言討論，協同尋求滿足其限制與偏好的行程。該框架提供介面以設定代理角色、討論工作流程、監控及 LLM 部署，從而易於且靈活地編排此類討論。其主要的應用情境是作為一個模擬工具，用於分析多個 LLM 代理在旅遊規劃討論過程中的行為。本文透過呈現系統驗證以及由該框架獲得的若干分析結果，來展示此框架的效用。

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.