Survey on Applications of Neurosymbolic Artificial Intelligence
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Abstract (arXiv)
In recent years, the Neurosymbolic framework has attracted a lot of attention in various applications, from recommender systems and information retrieval to healthcare and finance. This success is due to its stellar performance combined with attractive properties, such as learning and reasoning. The new emerging Neurosymbolic field is currently experiencing a renaissance, as novel frameworks and algorithms motivated by various practical applications are being introduced, building on top of the classical neural and reasoning problem setting. This article aims to provide a comprehensive review of significant recent developments in real-world applications of Neurosymbolic Artificial Intelligence. Specifically, we introduce a taxonomy of common Neurosymbolic applications and summarize the state-of-the-art for each of those domains. Furthermore, we identify important current trends and provide new perspectives pertaining to the future of this burgeoning field.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 11 of its 29 references that are in the map. First posted on arXiv 8 Sep 2022.
Builds on
11 of 29 references.
References · 11
- 2019Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Surveycited by 93
- 2020Neurosymbolic Reinforcement Learning with Formally Verified Explorationcited by 49
- 2018Incorporating Behavioral Constraints in Online AI Systemscited by 16
- 2020Learning to Generate Image Source-Agnostic Universal Adversarial Perturbationscited by 7
- 2020Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendationcited by 5
- 2020Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernelscited by 5
- 2022An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generationcited by 5
- 2014Context-Based Information Retrieval in Risky Environmentcited by 2
- 2014Freshness-Aware Thompson Samplingcited by 2
- 2021Reinforcement Learning with Algorithms from Probabilistic Structure Estimationcited by 2
- 2020A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robotcited by 1
Built on by
Citing papers per year: 2023: 1; 2024: 2; 2025: 2.
5 papers.
- 2023Neurosymbolic Reinforcement Learning and Planning: A Surveycited by 24
- 2024Neuro-Symbolic AI for Military Applicationscited by 7
- 2025A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectivescited by 5
- 2025Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysiscited by 2
- 2024Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networkscited by 1
- 2025Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis8 Sep 2025
- 2025A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives23 Mar 2025
- 2024Neuro-Symbolic AI for Military Applications17 Aug 2024
- 2024Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks7 Feb 2024
- 2023Neurosymbolic Reinforcement Learning and Planning: A Survey2 Sep 2023