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20122023
most citedNeural-Symbolic Learning and Reasoning: A Survey and Interpretation

241 citations · 715 across the 25 of their papers we have counts for

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Showing cs.AIShow all

5 papers · 1 filter

cs.AI2021★ 2 cited

Measuring Ethics in AI with AI: A Methodology and Dataset Construction

Pedro H. C. Avelar, Rafael B. Audibert, Anderson R. Tavares +1

Recently, the use of sound measures and metrics in Artificial Intelligence has become the subject of interest of academia, government, and industry. Efforts towards measuring diffe…

cs.AI2020★ 77 cited

Neurosymbolic AI: The 3rd Wave

Artur d'Avila Garcez, Luis C. Lamb

Current advances in Artificial Intelligence (AI) and Machine Learning (ML) have achieved unprecedented impact across research communities and industry. Nevertheless, concerns about…

cs.AI2020★ 119 cited

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective

Luis C. Lamb, Artur Garcez, Marco Gori +3

Neural-symbolic computing has now become the subject of interest of both academic and industry research laboratories. Graph Neural Networks (GNN) have been widely used in relationa…

cs.AI2019★ 99 cited

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

Artur d'Avila Garcez, Marco Gori, Luis C. Lamb +3

Current advances in Artificial Intelligence and machine learning in general, and deep learning in particular have reached unprecedented impact not only across research communities,…

cs.AI2017★ 241 cited

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader +11

The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several…