Neurosymbolic AI as an antithesis to scaling laws.

Velasquez A, Bhatt N, Topcu U, Wang Z, Sycara K, Stepputtis S, Neema S, Vallabha G

DOI: 10.1093/pnasnexus/pgaf117
Published: 2025 May
Container: PNAS nexus
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/pnasnexus/pgaf117,
  title = {Neurosymbolic AI as an antithesis to scaling laws.},
  author = {Velasquez A and Bhatt N and Topcu U and Wang Z and Sycara K and Stepputtis S and Neema S and Vallabha G},
  year = {2025},
  journal = {PNAS nexus},
  doi = {10.1093/pnasnexus/pgaf117},
  url = {https://doi.org/10.1093/pnasnexus/pgaf117}
}

RIS

TY  - JOUR
TI  - Neurosymbolic AI as an antithesis to scaling laws.
AU  - Velasquez A
AU  - Bhatt N
AU  - Topcu U
AU  - Wang Z
AU  - Sycara K
AU  - Stepputtis S
AU  - Neema S
AU  - Vallabha G
PY  - 2025
JO  - PNAS nexus
DO  - 10.1093/pnasnexus/pgaf117
UR  - https://doi.org/10.1093/pnasnexus/pgaf117
ER  -

APA

A, V., N, B., U, T., Z, W., K, S., S, S., S, N., & G, V. (2025). Neurosymbolic AI as an antithesis to scaling laws.. PNAS nexus. https://doi.org/10.1093/pnasnexus/pgaf117

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pubmed · retrieved 2026-09-26T23:53:12.794Z