Neuro-Symbolic AI for Military Applications

arXiv 2408.09224 ↗First posted 17 Aug 2024cs.AIcited by 7

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Abstract (arXiv)

Artificial Intelligence (AI) plays a significant role in enhancing the capabilities of defense systems, revolutionizing strategic decision-making, and shaping the future landscape of military operations. Neuro-Symbolic AI is an emerging approach that leverages and augments the strengths of neural networks and symbolic reasoning. These systems have the potential to be more impactful and flexible than traditional AI systems, making them well-suited for military applications. This paper comprehensively explores the diverse dimensions and capabilities of Neuro-Symbolic AI, aiming to shed light on its potential applications in military contexts. We investigate its capacity to improve decision-making, automate complex intelligence analysis, and strengthen autonomous systems. We further explore its potential to solve complex tasks in various domains, in addition to its applications in military contexts. Through this exploration, we address ethical, strategic, and technical considerations crucial to the development and deployment of Neuro-Symbolic AI in military and civilian applications. Contributing to the growing body of research, this study represents a comprehensive exploration of the extensive possibilities offered by Neuro-Symbolic AI.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 32 of its 146 references that are in the map. First posted on arXiv 17 Aug 2024.

Builds on

32 of 146 references.

References · 32

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20 more

2017What Does Explainable AI Really Mean? A New Conceptualization of Perspectivescited by 72
2023Interpretable Neural-Symbolic Concept Reasoningcited by 57
2018Formal Verification of Neural Network Controlled Autonomous Systemscited by 41
2021EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use casecited by 30
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Cited by year

Citing papers per year: 2024: 1; 2025: 6.

7 papers.

2025Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigationcited by 5
2025A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectivescited by 5
2025On the Performance of an Explainable Language Model on PubMedQAcited by 2
2025Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunitiescited by 2
2025Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Surveycited by 1
2024ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directionscited by 0
2025Multi-task GINN-LP for Multi-target Symbolic Regressioncited by 0

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