From statistical relational to neurosymbolic artificial intelligence: A survey-Reference-Cited by-同舟云学术

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From statistical relational to neurosymbolic artificial intelligence: A survey

Published:2024-03 Issue: Volume:328 Page:104062
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Marra Giuseppe^ORCID,Dumančić Sebastijan,Manhaeve Robin,De Raedt Luc

Publisher

Elsevier BV

Reference143 articles.

1. Learning to reason: leveraging neural networks for approximate DNF counting;Abboud,2020

2. Semantic referee: a neural-symbolic framework for enhancing geospatial semantic segmentation;Alirezaie;Semant. Web,2019

3. Hinge-loss Markov random fields and probabilistic soft logic;Bach;J. Mach. Learn. Res.,2017

4. Dimensions of neural-symbolic integration - a structured survey;Bader,2005

5. Logic tensor networks;Badreddine;Artif. Intell.,2022

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neuro-symbolic AI and the semantic web;Semantic Web;2024-08-02

2. Quantified neural Markov logic networks;International Journal of Approximate Reasoning;2024-08

3. A computational perspective on neural-symbolic integration;Neurosymbolic Artificial Intelligence;2024-07-18

4. Challenges for Non-Classical Reasoning in Contemporary AI Applications;KI - Künstliche Intelligenz;2024-07-04

5. Dual-process theories of thought as potential architectures for developing neuro-symbolic AI models;Frontiers in Cognition;2024-03-05

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