基于思维链增强的可解释性通信网络智能规划方法
A Chain-of-Thought Enhanced Explainable Intelligent Planning Method for Communication Networks
DOI: 10.12677/csa.2026.166206, PDF,   
作者: 邓莉琼, 陈博文：空军通信士官学校指挥信息系统与网络系，辽宁 大连；朱 波：大连理工大学城市学院党委学生工作部，辽宁 大连
关键词: 思维链；知识图谱；通信网络；智能规划；Chain-of-Thought； Knowledge Graph； Communication Network； Intelligent Planning
摘要: 随着信息化应用场景的深度发展，通信网络需具备快速、自适应的规划能力。以深度学习为代表的传统智能规划方法虽能提升效率，但其“黑箱决策”特性导致过程不透明、决策依据不可验，在高风险的关键应用中易引发严重的信任危机。为解决这一问题，本文提出了一种融合思维链(Chain-of-Thought, CoT)与知识图谱(Knowledge Graph, KG)技术的可解释性通信网络智能规划方法，为解决人工智能在高可靠性决策场景中的“可信度瓶颈”提供一定的参考价值。
Abstract: With the deepening development of informationized application scenarios, communication networks must possess rapid and adaptive planning capabilities. Although traditional intelligent planning methods, represented by deep learning, can improve efficiency, their “black-box decision-making” nature results in opaque processes and unverifiable decision rationale, easily leading to serious trust crises in high-risk critical applications. To address this issue, this paper proposes an interpretable intelligent planning method for communication networks by integrating Chain-of-Thought (CoT) and Knowledge Graph (KG) technologies. The proposed approach offers valuable reference for overcoming the “credibility bottleneck” of artificial intelligence in high-reliability decision-making scenarios.
文章引用：邓莉琼, 陈博文, 朱波. 基于思维链增强的可解释性通信网络智能规划方法[J]. 计算机科学与应用, 2026, 16(6): 24-32. https://doi.org/10.12677/csa.2026.166206

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