Iman Sharifi

Iman Sharifi

Visiting Researcher at Stanford University | Ph.D. Candidate at George Washington University

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey

IJCAI 2025 Conference Papers

Kamal Acharya, Iman Sharifi, Mehul Lad, Liang Sun, Houbing Song

International Joint Conference on Artificial Intelligence (IJCAI)

Paper arXiv
Cite this paper
Application areas of neurosymbolic AI in advanced air mobility covered by the survey: demand modeling, electrification, training and simulation, autonomy, aircraft design, safety, predictive maintenance, and cybersecurity.
Application areas of neurosymbolic AI in advanced air mobility covered by the survey: demand modeling, electrification, training and simulation, autonomy, aircraft design, safety, predictive maintenance, and cybersecurity.

Abstract

Neurosymbolic AI combines neural network adaptability with symbolic reasoning, promising an approach to address the complex regulatory, operational, and safety challenges in Advanced Air Mobility (AAM). This survey reviews its applications across key AAM domains such as demand forecasting, aircraft design, and real-time air traffic management. Our analysis reveals a fragmented research landscape where methodologies, including Neurosymbolic Reinforcement Learning, have shown potential for dynamic optimization but still face hurdles in scalability, robustness, and compliance with aviation standards. We classify current advancements, present relevant case studies, and outline future research directions aimed at integrating these approaches into reliable, transparent AAM systems. By linking advanced AI techniques with AAM’s operational demands, this work provides a concise roadmap for researchers and practitioners developing next-generation air mobility solutions.

Cite

K. Acharya, I. Sharifi, M. Lad, L. Sun, and H. H. Song. (2025). "Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey." IJCAI, 2025.

@inproceedings{acharya2025integrating,
  title     = {Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey},
  author    = {Acharya, Kamal and Sharifi, Iman and Lad, Mehul and Sun, Liang and Song, Houbing},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI)},
  pages     = {10362--10370},
  year      = {2025},
  doi       = {10.24963/ijcai.2025/1151}
}