Neurosymbolic AI and its Taxonomy: a survey
Neural and Evolutionary Computing
2023-05-18 v2 Artificial Intelligence
Machine Learning
Abstract
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.
Keywords
Cite
@article{arxiv.2305.08876,
title = {Neurosymbolic AI and its Taxonomy: a survey},
author = {Wandemberg Gibaut and Leonardo Pereira and Fabio Grassiotto and Alexandre Osorio and Eder Gadioli and Amparo Munoz and Sildolfo Gomes and Claudio dos Santos},
journal= {arXiv preprint arXiv:2305.08876},
year = {2023}
}
Comments
submitted to ACM Computing Surveys