Neurosymbolic AI and its Taxonomy: a survey

Wandemberg Gibaut, Leonardo Pereira, Fabio Grassiotto, Alexandre Osorio, Eder Gadioli +3 more
5/12/2023
cs.NEcs.AIcs.LG

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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.

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Cite this paper

@article{gibaut2023neurosymbolic,
  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},
  year   = {2023},
  eprint = {2305.08876},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.08876v2}
}

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