“Iearnability” of intelligent weapon systems: a transition logic from robust autonomy to cognitive evolution

Zhang Long; Huang Wenbo; Lei Zhen; Feng Xuanming; Wang Ying

doi:10.11959/j.issn.2096-6652.202607

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“Iearnability” of intelligent weapon systems: a transition logic from robust autonomy to cognitive evolution

Papers and Reports | 更新时间：2026-04-27

- “Iearnability” of intelligent weapon systems: a transition logic from robust autonomy to cognitive evolution
- Chinese Journal of Intelligent Science and Technology Vol. 8, Issue 1, Pages: 61-71(2026)
- 作者机构：
  
  1.军事科学院系统工程研究院，北京 100101
  2.海军航空大学，山东烟台 264000
  3.陆军研究院，北京 100012
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202607
  CLC： E919;TP18
- Received：21 October 2025，
  
  Revised：2026-03-18，
  
  Accepted：20 March 2026，
  
  Published：15 March 2026
- 稿件说明：
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张龙,黄文博,雷震等.智能化装备体系的“学习性”：从鲁棒自主到认知演化的跃迁逻辑[J].智能科学与技术学报,2026,08(01):61-71.

Zhang Long,Huang Wenbo,Lei Zhen,et al.“Iearnability” of intelligent weapon systems: a transition logic from robust autonomy to cognitive evolution[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):61-71.
张龙,黄文博,雷震等.智能化装备体系的“学习性”：从鲁棒自主到认知演化的跃迁逻辑[J].智能科学与技术学报,2026,08(01):61-71. DOI： 10.11959/j.issn.2096-6652.202607.

Zhang Long,Huang Wenbo,Lei Zhen,et al.“Iearnability” of intelligent weapon systems: a transition logic from robust autonomy to cognitive evolution[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):61-71. DOI： 10.11959/j.issn.2096-6652.202607.

摘要

智能化装备体系是作战形态向认知主导、自主适应转型的实体承载。为在高度不确定性与强对抗性战场环境中维持功能连续性，体系必须具备内生性的“学习性”。将学习性界定为智能化装备体系应对不确定性、维持功能连续性的存在论能力，并构建了一个贯通本体论、作用机理与实现路径的三层理论框架。首先，从历史必然性、技术重塑与复杂性临界3个维度，论证了学习性成为体系存续刚性需求的内在逻辑。其次，逐层剖析了学习性的三重层级内涵：智能节点层以“鲁棒自主”为存在基线，智能系统层以“涌现协同”为结构增益，智能体系层以“认知演化”实现规则主导。进而，提出了与之对应的三层结构化实现路径，详细阐述了从个体表征推演、系统结构自组织到体系规则演化的耦合机理与闭环反馈机制。所提框架旨在为智能化装备体系的顶层设计、效能评估与能力生成提供一套系统性的理论框架，为理解并构建未来战场的“认知生命体”提供理论探索。

Abstract

The intelligent equipment system serves as the physical carrier for the transformation of operational forms toward cognitive adaptation. To maintain functional continuity within highly uncertain and strongly adversarial battlefield environments

the system must possess an endogenous "learnability". Learnability as the ontological capability of an intelligent equipment system was defined to cope with uncertainty and sustain functional continuity

constructing a three-layer theoretical framework that integrates ontology

operational mechanisms

and implementation paths. Firstly

the intrinsic logic of learnability becoming a rigid requirement for system survival was demonstrated in three dimensions

such as historical inevitability

technological reshaping

and complexity criticality. Secondly

the connotations of learnability at three hierarchical levels were analyzed

such as the intelligent node level established "robust autonomy" as the existence baseline

the intelligent system level achieved "emergent collaboration" as structural gain

and the intelligent system-of-systems level realized "cognitive evolution" for rule dominance. Furthermore

corresponding three-layer structured implementation paths were proposed

elaborating on the coupling mechanisms and closed-loop feedback mechanisms ranging from individual representation deduction and system structure self-organization to system-of-systems rule evolution. This framework aims to provide a systematic theoretical framework for the top-level design

effectiveness evaluation

and capability generation of intelligent equipment systems

offering theoretical exploration for understanding and constructing the "cognitive life forms" of the future battlefield.

关键词

Keywords

references

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