用多智能体协作让自然语言操作日历更准更灵活
ScheduleMe: Multi-Agent Calendar Assistant
- 中心协调智能体管理专业任务智能体，实现模块化分工
- 通过图结构机制解决日程冲突与自然语言歧义
- 适合需要高效处理复杂日程安排的用户
近年来大语言模型的发展推动了高级对话式助手的兴起，能够通过自然语言交互满足用户需求。本文提出ScheduleMe，一个用于通过自然语言管理Google Calendar事件的多智能体日程助理系统。该系统采用图结构化的协调机制，由一个中央监督智能体协调多个专业化任务智能体，实现模块化、冲突消解和上下文感知交互，以解决歧义并评估用户指令。该方法展示了结构化推理与智能体协作如何提升个人日程助手的可用性与灵活性。
原文摘要 · Abstract (English)
Recent advancements in LLMs have contributed to the rise of advanced conversational assistants that can assist with user needs through natural language conversation. This paper presents a ScheduleMe, a multi-agent calendar assistant for users to manage google calendar events in natural language. The system uses a graph-structured coordination mechanism where a central supervisory agent supervises specialized task agents, allowing modularity, conflicts resolution, and context-aware interactions to resolve ambiguities and evaluate user commands. This approach sets an example of how structured reasoning and agent cooperation might convince operators to increase the usability and flexibility of personal calendar assistant tools.
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