# Survey on Applications of Neurosymbolic Artificial Intelligence

arXiv: https://arxiv.org/abs/2209.12618 · HTML: https://mlsanity.com/paper/2209.12618/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 11 of its 29 references that are in the map.
- First posted on arXiv 8 Sep 2022.

## Builds on (most cited first, 11 of 11)

- [Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey](https://mlsanity.com/paper/1911.12116/) (2019)
- [Neurosymbolic Reinforcement Learning with Formally Verified Exploration](https://mlsanity.com/paper/2009.12612/) (2020)
- [Incorporating Behavioral Constraints in Online AI Systems](https://mlsanity.com/paper/1809.05720/) (2018)
- [Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations](https://mlsanity.com/paper/2009.13714/) (2020)
- [Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation](https://mlsanity.com/paper/2007.13207/) (2020)
- [Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels](https://mlsanity.com/paper/2009.07738/) (2020)
- [An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation](https://mlsanity.com/paper/2203.05843/) (2022)
- [Context-Based Information Retrieval in Risky Environment](https://mlsanity.com/paper/1409.7729/) (2014)
- [Freshness-Aware Thompson Sampling](https://mlsanity.com/paper/1409.8572/) (2014)
- [Reinforcement Learning with Algorithms from Probabilistic Structure Estimation](https://mlsanity.com/paper/2103.08241/) (2021)
- [A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot](https://mlsanity.com/paper/2010.13983/) (2020)

## Built on by (most cited first, 5 of 5)

- [Neurosymbolic Reinforcement Learning and Planning: A Survey](https://mlsanity.com/paper/2309.01038/) (2023)
- [Neuro-Symbolic AI for Military Applications](https://mlsanity.com/paper/2408.09224/) (2024)
- [A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives](https://mlsanity.com/paper/2503.18213/) (2025)
- [Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis](https://mlsanity.com/paper/2509.07122/) (2025)
- [Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks](https://mlsanity.com/paper/2402.05307/) (2024)

## 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.