arXiv cs.MA· Sreedevi Pandiyath Viswambaran·· 10 天前AI 评分22
Adaptive Workflow Intelligence：面向上下文驱动企业自动化的认知架构
Adaptive Workflow Intelligence: A Cognitive Architecture for Context-Driven Enterprise Automation
AI 导读
论文提出 Adaptive Workflow Intelligence（AWI），一种围绕感知-认知-行动-反思（PCAR）四层循环组织的企业智能体认知架构，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应对环境漂移和运营约束。在延迟结果与受控机制转变的模拟企业决策工作流中，带护栏约束的自适应方法比静态自动化恢复更快并保持策略合规，AWI 的反思组件小幅降低了行为震荡与反馈方差。
正文 · 原文
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 policy-constrained enterprise operations. This paper introduces Adaptive Workflow Intelligence (AWI), a cognitive architecture for context-driven enterprise agents organized around a four-layer Perception-Cognition-Action-Reflection (PCAR) loop. AWI treats reflection as a mechanism for continuous policy refinement and combines hybrid reasoning with reflective memory and feedback-driven adaptation to support decision making under environmental drift and operational constraints. We evaluate AWI in a simulated enterprise decision workflow characterized by delayed outcomes and a controlled regime shift. In a drift-and-delay stress test, guardrail-constrained adaptive approaches recover more rapidly than static automation while maintaining policy compliance. Within this setting, AWI's reflective components modestly reduce behavioral oscillation and feedback variance, illustrating the stability-agility trade-off introduced by reflective policy adaptation.
| Comments: | 12 pages, simulation-based evaluation of adaptive workflow agents |
| Subjects: | Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2610.08793 [cs.AI] |
| (or arXiv:2610.08793v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.08793 arXiv-issued DOI via DataCite |
Submission history
From: Sreedevi Pandiyath Viswambaran [view email]
[v1]
Wed, 18 Mar 2026 06:42:13 UTC (2,360 KB)
来源：arXiv cs.MA · arxiv.org