自适应工作流智能：面向上下文驱动企业自动化的认知架构
原标题：Adaptive Workflow Intelligence: A Cognitive Architecture for Context-Driven Enterprise Automation
AI 摘要
该论文提出自适应工作流智能（AWI），一种面向企业自动化的认知架构，围绕感知-认知-行动-反思（PCAR）四层循环组织，将反思作为持续策略优化机制，结合混合推理、反思记忆与反馈驱动适应。在模拟企业决策工作流（含延迟反馈与受控机制转变）中，受护栏约束的自适应方法比静态自动化恢复更快且保持策略合规，反思组件适度降低行为振荡与反馈方差，体现稳定性与敏捷性的权衡。
正文节选
Adaptive Workflow Intelligence: A Cognitive Architecture for Context-Driven Enterprise Automation Abstract Enterprise systems increasingly rely on automated workflows, yet many AI-driven solutions remain brittle under non-stationary conditions, evolving policies, and delayed operational feedback. While reinforcement learning and large language model (LLM) agents offer partial adaptability, they do not by themselves provide persistent reflection mechanisms or straightforward integration with poli