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Neurosymbolic AI: The 3rd Wave
v1v2 (latest)

Neurosymbolic AI: The 3rd Wave

Artificial Intelligence Review (AIR), 2020
10 December 2020
Artur Garcez
Luís C. Lamb
    NAI
ArXiv (abs)PDFHTML

Papers citing "Neurosymbolic AI: The 3rd Wave"

12 / 162 papers shown
Deep Phasor Networks: Connecting Conventional and Spiking Neural
  Networks
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
W. Olin-Ammentorp
M. Bazhenov
191
5
0
15 Jun 2021
Relational Reasoning Networks
Relational Reasoning NetworksKnowledge-Based Systems (KBS), 2021
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
348
8
0
01 Jun 2021
The General Theory of General Intelligence: A Pragmatic Patternist
  Perspective
The General Theory of General Intelligence: A Pragmatic Patternist Perspective
B. Goertzel
AI4CE
224
22
0
28 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal DiscoveryACM Computing Surveys (CSUR), 2021
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
527
358
0
03 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a
  taxonomy, patterns and use cases
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
M. V. Bekkum
M. D. Boer
F. V. Harmelen
André Meyer-Vitali
A. T. Teije
202
98
0
23 Feb 2021
Inductive logic programming at 30
Inductive logic programming at 30Machine-mediated learning (ML), 2021
Andrew Cropper
Sebastijan Dumancic
Richard Evans
Stephen Muggleton
AI4CE
233
93
0
21 Feb 2021
Symbolic Behaviour in Artificial Intelligence
Symbolic Behaviour in Artificial Intelligence
Adam Santoro
Andrew Kyle Lampinen
Kory W. Mathewson
Timothy Lillicrap
David Raposo
203
38
0
05 Feb 2021
Logic Tensor Networks
Logic Tensor NetworksArtificial Intelligence (AI), 2020
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
677
275
0
25 Dec 2020
Rule Extraction from Binary Neural Networks with Convolutional Rules for
  Model Validation
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model ValidationFrontiers in Artificial Intelligence (FAI), 2020
Sophie Burkhardt
Jannis Brugger
Nicolas Wagner
Zahra Ahmadi
Kristian Kersting
Stefan Kramer
NAIFAtt
215
8
0
15 Dec 2020
A multi-component framework for the analysis and design of explainable
  artificial intelligence
A multi-component framework for the analysis and design of explainable artificial intelligenceMachine Learning and Knowledge Extraction (MLKE), 2020
S. Atakishiyev
H. Babiker
Nawshad Farruque
R. Goebel1
Myeongjung Kima
M. H. Motallebi
J. Rabelo
T. Syed
O. R. Zaïane
164
43
0
05 May 2020
Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
497
780
0
29 Mar 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and
  Classification
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and ClassificationInternational Journal of Intelligent Systems (IJIS), 2019
Blaž Škrlj
Jan Kralj
Janez Konc
Marko Robnik-Šikonja
Nada Lavrac
GNNBDL
335
5
0
11 Feb 2019
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