Neurosymbolic AI and its Taxonomy: a survey
It provides a taxonomy for researchers in AI, but it is incremental as it surveys existing work without introducing new methods.
This survey investigates and classifies recent research papers in neurosymbolic AI, which combines symbolic processing and neural networks to advance toward Artificial General Intelligence (AGI).
Neurosymbolic AI deals with models that combine symbolic processing, like classic AI, and neural networks, as it's a very established area. These models are emerging as an effort toward Artificial General Intelligence (AGI) by both exploring an alternative to just increasing datasets' and models' sizes and combining Learning over the data distribution, Reasoning on prior and learned knowledge, and by symbiotically using them. This survey investigates research papers in this area during recent years and brings classification and comparison between the presented models as well as applications.