Survey on Applications of Neurosymbolic Artificial Intelligence
It serves as a survey for researchers and practitioners interested in understanding and applying Neurosymbolic AI, but it is incremental as it reviews existing work without presenting new results.
This paper provides a comprehensive review of recent developments in real-world applications of Neurosymbolic Artificial Intelligence, introducing a taxonomy and summarizing state-of-the-art methods across domains like recommender systems, healthcare, and finance.
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.