Knowledge Tree
Artur d'Avila Garcez
Also known as: Artur S. D'Avila Garcez, Artur d’Avila Garcez, Artur Garcez
Facts (10)
Sources
Neuro-symbolic AI - Wikipedia en.wikipedia.org 8 facts
referenceArtur S. d'Avila Garcez, Krysia Broda, and Dov M. Gabbay authored the book 'Neural-Symbolic Learning Systems: Foundations and Applications', which details the theoretical and practical foundations of the field.
referenceArtur d'Avila Garcez and Luis C. Lamb published 'Neurosymbolic AI: The 3rd Wave', which characterizes the current state of the field as the third wave of development.
referenceArtur Garcez authored the article 'Neurosymbolic AI is the answer to large language models' inability to stop hallucinating', published in The Conversation on May 30, 2025.
referenceLuciano Serafini and Artur d'Avila Garcez authored the 2016 paper 'Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge', published on arXiv.
referenceArtur S. D'Avila Garcez, Luis C. Lamb, and Dov M. Gabbay authored the 2009 book 'Neural-symbolic cognitive reasoning', published by Springer.
referenceArtur d'Avila Garcez, Marco Gori, Luis C. Lamb, Luciano Serafini, Michael Spranger, and Son N. Tran published 'Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning', arguing for a principled approach to combining these fields.
accountArtur d'Avila Garcez and Luís C. Lamb described research in neuro-symbolic AI as ongoing since at least the 1990s, a period when the terms 'symbolic AI' and 'sub-symbolic AI' were popular.
referenceArtur Garcez, Tarek Besold, Luc De Raedt, Peter Földiák, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luís Lamb, Risto Miikkulainen, and Daniel Silver presented 'Neural-Symbolic Learning and Reasoning: Contributions and Challenges' at the AAAI Spring Symposium.
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org Nov 7, 2024 1 fact
referenceArtur d’Avila Garcez, Aimore Resende Riquetti Dutra, and Eduardo Alonso proposed an approach towards symbolic reinforcement learning incorporating common sense in 2018.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org Jul 11, 2024 1 fact
referenceArtur d’Avila Garcez et al. discussed the contributions and challenges of neural-symbolic learning and reasoning.