Special issue on Learning and Reasoning

Articles (22 in this collection)

1. FFNSL: Feed-Forward Neural-Symbolic Learner

   Authors (first, second and last of 4)

   • Daniel Cunnington
   • Mark Law
   • Alessandra Russo

   • Content type: OriginalPaper
   • Open Access
   • Published: 23 January 2023

   • Pages: 515 - 569

   

2. Limits of multi-relational graphs

   Authors

   • Juan Alvarado
   • Yuyi Wang
   • Jan Ramon

   • Content type: OriginalPaper
   • Published: 13 December 2022

   • Pages: 177 - 216

   

3. Lifted model checking for relational MDPs

   Authors

   • Wen-Chi Yang
   • Jean-François Raskin
   • Luc De Raedt

   • Content type: OriginalPaper
   • Published: 23 June 2022

   • Pages: 3797 - 3838

   

4. Lifting symmetry breaking constraints with inductive logic programming

   Authors

   • Alice Tarzariol
   • Martin Gebser
   • Konstantin Schekotihin

   • Content type: OriginalPaper
   • Open Access
   • Published: 19 April 2022

   • Pages: 1303 - 1326

   

5. Meta-interpretive learning as metarule specialisation

   Authors

   • S. Patsantzis
   • S. H. Muggleton

   • Content type: OriginalPaper
   • Open Access
   • Published: 15 April 2022

   • Pages: 3703 - 3731

   

6. Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework

   Authors (first, second and last of 4)

   • Ludovico Mitchener
   • David Tuckey
   • Alessandra Russo

   • Content type: OriginalPaper
   • Open Access
   • Published: 07 April 2022

   • Pages: 1523 - 1549

   

7. Planning for potential: efficient safe reinforcement learning

   Authors (first, second and last of 4)

   • Floris den Hengst
   • Vincent François-Lavet
   • Frank van Harmelen

   • Content type: OriginalPaper
   • Open Access
   • Published: 23 March 2022

   • Pages: 2255 - 2274

   

8. Handling epistemic and aleatory uncertainties in probabilistic circuits

   Authors (first, second and last of 4)

   • Federico Cerutti
   • Lance M. Kaplan
   • Murat Şensoy

   • Content type: OriginalPaper
   • Published: 10 January 2022

   • Pages: 1259 - 1301

   

9. Symbolic DNN-Tuner

   Authors

   • Michele Fraccaroli
   • Evelina Lamma
   • Fabrizio Riguzzi

   • Content type: OriginalPaper
   • Published: 24 November 2021

   • Pages: 625 - 650

   

10. Learning any memory-less discrete semantics for dynamical systems represented by logic programs

    Authors (first, second and last of 4)

    • Tony Ribeiro
    • Maxime Folschette
    • Katsumi Inoue

    • Content type: OriginalPaper
    • Published: 24 November 2021

    • Pages: 3593 - 3670

    

11. Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment

    Authors

    • Tirtharaj Dash
    • Ashwin Srinivasan
    • A. Baskar

    • Content type: OriginalPaper
    • Published: 18 November 2021

    • Pages: 575 - 623

    

12. Inductive logic programming at 30

    Authors (first, second and last of 4)

    • Andrew Cropper
    • Sebastijan Dumančić
    • Stephen H. Muggleton

    • Content type: S.I.: LR 2020
    • Open Access
    • Published: 09 November 2021

    • Pages: 147 - 172

    

13. Learning from interpretation transition using differentiable logic programming semantics

    Authors (first, second and last of 4)

    • Kun Gao
    • Hanpin Wang
    • Katsumi Inoue

    • Content type: OriginalPaper
    • Published: 14 September 2021

    • Pages: 123 - 145

    

14. Learning explanations for biological feedback with delays using an event calculus

    Authors

    • Ashwin Srinivasan
    • Michael Bain
    • A. Baskar

    • Content type: OriginalPaper
    • Published: 18 August 2021

    • Pages: 2435 - 2487

    

15. A comparison of statistical relational learning and graph neural networks for aggregate graph queries

    Authors

    • Varun Embar
    • Sriram Srinivasan
    • Lise Getoor

    • Content type: OriginalPaper
    • Open Access
    • Published: 17 June 2021

    • Pages: 1847 - 1866

    

16. OWL2Vec*: embedding of OWL ontologies

    Authors (first, second and last of 6)

    • Jiaoyan Chen
    • Pan Hu
    • Ian Horrocks

    • Content type: OriginalPaper
    • Open Access
    • Published: 16 June 2021

    • Pages: 1813 - 1845

    

17. Incorporating symbolic domain knowledge into graph neural networks

    Authors

    • Tirtharaj Dash
    • Ashwin Srinivasan
    • Lovekesh Vig

    • Content type: OriginalPaper
    • Published: 13 June 2021

    • Pages: 1609 - 1636

    

18. AUTOMAT[R]IX: learning simple matrix pipelines

    Authors

    • Lidia Contreras-Ochando
    • Cèsar Ferri
    • José Hernández-Orallo

    • Content type: OriginalPaper
    • Open Access
    • Published: 13 April 2021

    • Pages: 779 - 799

    

19. Beneficial and harmful explanatory machine learning

    Authors (first, second and last of 5)

    • Lun Ai
    • Stephen H. Muggleton
    • Ute Schmid

    • Content type: OriginalPaper
    • Open Access
    • Published: 11 March 2021

    • Pages: 695 - 721

    

20. Learning programs by learning from failures

    Authors

    • Andrew Cropper
    • Rolf Morel

    • Content type: OriginalPaper
    • Open Access
    • Published: 19 February 2021

    • Pages: 801 - 856

    

21. Top program construction and reduction for polynomial time Meta-Interpretive learning

    Authors

    • S. Patsantzis
    • S. H. Muggleton

    • Content type: OriginalPaper
    • Open Access
    • Published: 08 February 2021

    • Pages: 755 - 778

    

22. Probabilistic inductive constraint logic

    Authors (first, second and last of 5)

    • Fabrizio Riguzzi
    • Elena Bellodi
    • Evelina Lamma

    • Content type: OriginalPaper
    • Open Access
    • Published: 10 November 2020

    • Pages: 723 - 754