# Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing

**Authors:** Wenguan Wang, Yi Yang, Fei Wu  
**arXiv:** [2210.15889](https://arxiv.org/abs/2210.15889)  
**Date:** 2022-10-28  
**Summary page:** https://www.summarizepaper.com/en/paper/2210.15889v3/

## Key points

- Neural-Symbolic Computing (NeSy) integrates symbolic and statistical paradigms of cognition in AI
- NeSy combines reasoning and interpretability of symbolic representation with robust learning capabilities of neural networks
- Authors provide a systematic overview of recent developments in NeSy AI
- History of NeSy, early work, and foundational concepts are discussed
- Recent landmark approaches categorized based on neural-symbolic integration, knowledge representation, knowledge embedding, and functionality
- Successful application of modern NeSy approaches in various domains is discussed
- Open problems and potential future research directions in NeSy AI are identified
- Survey serves as a valuable resource for new researchers entering the field

## Summary

Neural-Symbolic Computing (NeSy) is an area of research in Artificial Intelligence (AI) that aims to integrate the symbolic and statistical paradigms of cognition. This integration has been pursued for many years as NeSy shows promise in combining the advantages of reasoning and interpretability offered by symbolic representation with the robust learning capabilities of neural networks. In this paper, authors Wenguan Wang, Yi Yang, and Fei Wu provide a systematic overview of recent developments in NeSy AI. They discuss the history of NeSy covering early work and foundational concepts. Then they categorize recent landmark approaches based on several main characteristics that underline this research paradigm such as neural-symbolic integration, knowledge representation, knowledge embedding and functionality. The successful application of modern NeSy approaches in various domains is also discussed. Furthermore, they identify open problems and potential future research directions in NeSy AI. This survey serves as a valuable resource for new researchers entering the rapidly-developing field of data-and knowledge-driven AI providing a comprehensive overview of important developments in NeSy AI and offering insights into its potential as a catalyst for the next generation of AI systems.