基于脚本的LLM驱动对话智能体对话策略规划：“AI治疗师”的基础架构
Script-Based Dialog Policy Planning for LLM-Powered Conversational Agents: A Basic Architecture for an "AI Therapist"
AI总结：
本研究提出基于脚本的对话策略规划范式，使LLM对话智能体能依据专家脚本行动并在有限状态间转换，构建了AI治疗师的基础架构，实验验证了其可行性与不同实现变体的效率。
摘要：
大型语言模型（LLM）驱动的对话智能体有潜力为用户提供规模化的行为健康护理支持，未来甚至可能提供全面的“AI治疗”。尽管此类智能体已能进行流畅、主动的情感支持对话，但它们本质上缺乏以下能力：(a) 始终如一且可靠地依据预定义规则行动，以使其对话符合整体治疗理念；(b) 使其决策路径可被检查以进行风险管理和临床评估——这两者都是“AI治疗师”的必要要求。在本研究中，我们引入了一种对话智能体对话策略规划的新范式，使其能够(a)根据概述治疗方法的专家编写“脚本”行动，(b)在对话过程中显式地在一组有限状态间转换。该脚本作为确定性组件，以理想方式约束LLM行为，并为AI治疗师建立基础架构。我们使用不同提示技术实现了基于脚本的对话策略规划的两个变体，并与LLM模拟患者合成了共100次对话。结果证明了该新技术的可行性，并为不同实现变体的效率和有效性提供了见解。
英文摘要：
Large Language Model (LLM)-Powered Conversational Agents have the potential to provide users with scaled behavioral healthcare support, and potentially even deliver full-scale "AI therapy'" in the future. While such agents can already conduct fluent and proactive emotional support conversations, they inherently lack the ability to (a) consistently and reliably act by predefined rules to align their conversation with an overarching therapeutic concept and (b) make their decision paths inspectable for risk management and clinical evaluation -- both essential requirements for an "AI Therapist". In this work, we introduce a novel paradigm for dialog policy planning in conversational agents enabling them to (a) act according to an expert-written "script" that outlines the therapeutic approach and (b) explicitly transition through a finite set of states over the course of the conversation. The script acts as a deterministic component, constraining the LLM's behavior in desirable ways and establishing a basic architecture for an AI Therapist. We implement two variants of Script-Based Dialog Policy Planning using different prompting techniques and synthesize a total of 100 conversations with LLM-simulated patients. The results demonstrate the feasibility of this new technology and provide insights into the efficiency and effectiveness of different implementation variants.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
