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September 20, 2025

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey

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Authors

KAK. AcharyaISIman SharifiMLMehul Lad

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Overview

This survey reviews the potential of neurosymbolic AI to enhance safety and operations in advanced air mobility, indicating a roadmap for future research.

Key Points

  • Neurosymbolic AI can optimize complex safety challenges in advanced air mobility, paving the way for enhanced solutions.
  • Our analysis shows that neurosymbolic reinforcement learning has potential for dynamic optimization but struggles with scalability.
  • Current methodologies in neurosymbolic AI reveal a fragmented landscape that presents risks in regulatory compliance and operational efficiency.
  • We categorize advancements in neurosymbolic AI, identifying case studies that highlight its relevance to aviation requirements and future applications.

Cite This Study

Acharya et al. (2025) studied this question.

synapsesocial.com/papers/68d4391c713b0b5dfea794a1https://doi.org/10.24963/ijcai.2025/1151
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