AI 中文总结
该研究提出对话式混合人工智能（CHAI）架构，结合大型语言模型与基于规则的控制器，采用DCR图作为建模语言，构建电子政务领域可解释且准确的对话智能体，已在新冠聊天机器人及残疾学生助学金案件管理中应用。
AI 中文摘要
我们提出了一种称为对话式混合人工智能（CHAI）的架构，用于构建电子政务领域可解释且准确的对话智能体。我们以一个基于面向公民的政府指南构建的新冠聊天机器人运行原型为例，展示了该架构的应用。我们还描述了一个正在进行的针对残疾学生补充助学金的案件管理案例。我们使用大型语言模型（LLMs）作为有界对话接口，连接到基于规则的（符号人工智能）控制器，该控制器执行表达法律和/或指南规定及义务的逻辑模型。作为逻辑建模语言，我们使用动态条件响应（DCR）图，这是一种符号声明式过程建模语言，旨在表达义务性、可废止性和时间逻辑属性，使其适用于表达法律规则和法律案件管理流程的步骤。
英文摘要
We present a so-called Conversational Hybrid AI (CHAI) architecture for building explainable and accurate conversational agents for eGovernment. We exemplify the architecture with a running prototype of a Covid-19 Chatbot based on a governmental guideline directed to citizens. We also describe an ongoing case on case management for supplementary grants for students with disabilities. We use large language models (LLMs) as a bounded conversational interface to a rule-based (symbolic AI) controller that executes a logical model expressing the provisions and obligations of the law and/or guidelines. As logical modelling language we use Dynamic Condition Response (DCR) graphs, a symbolic declarative process-modeling language developed with the aim to be able to express both deontic, defeasible and temporal logic properties, making it suitable for expressing both the rules of the law and the steps of the legal case management processes.
CommentsPresented at AIDA2J Workshop at ICAIL 2026, SMU, Singapore
