Survey on Applications of Neurosymbolic Artificial Intelligence

TL;DR

This survey reviews recent advances in Neurosymbolic AI, highlighting its diverse applications, key developments, and future trends across domains like healthcare, finance, and information retrieval.

Contribution

It provides a comprehensive taxonomy and summarizes state-of-the-art methods and applications in the emerging field of Neurosymbolic AI.

Findings

Neurosymbolic AI shows strong performance in multiple domains.

Recent frameworks integrate neural and symbolic reasoning effectively.

The field is experiencing rapid growth and diversification.

Abstract

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.