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https://ceur-ws.org/Vol-3212/preface.pdf
Proceedings of the 16th International Workshop on
Neural-Symbolic Learning and Reasoning (NeSy)
Artur d’Avila Garcez1 , Ernesto Jiménez-Ruiz1,2
1
City, University of London, UK
2
SIRIUS, University of Oslo, Norway
Preface
NeSy is the annual meeting of the Neural-Symbolic Learning and Reasoning Association1 and
the premier venue for the presentation and discussion of the theory and practice of neural-
symbolic computing systems.2 Since 2005, NeSy has provided an atmosphere for the free
exchange of ideas bringing together the community of scientists and practitioners that straddle
the line between deep learning and symbolic AI.
Neural networks and statistical Machine Learning have obtained industrial relevance in a
number of areas from retail to healthcare, achieving state-of-the-art performance at language
modelling, speech recognition, graph analytics, image, video and sensor data analysis. Symbolic
AI, on the other hand, is challenged by such unstructured data, but is recognised as being in
principle transparent, in that reasoned facts from knowledge-bases can be inspected to interpret
how decisions follow from input. Neural and symbolic methods also contrast in the problems
that they excel at: scene recognition from images appears to be a problem still outside the
capabilities of symbolic systems, for example, while neural networks are not yet sufficient for
industrial-strength complex planning scenarios and deductive reasoning tasks.
Neurosymbolic AI aims to build rich computational models and systems by combining neural
and symbolic learning and reasoning paradigms. This combination hopes to form synergies
among their strengths while overcoming their complementary weaknesses.
NeSy 2022 was part of the Second International Joint Conference on Learning and Reasoning
(IJCLR 2022) held in Cumberland Lodge, Windsor Great Park, United Kingdom, 28-30 September
2022.3 NeSy welcomed submissions of the latest and ongoing research work on neurosymbolic
AI for presentation at the workshop. Topics of interest included, but were not limited to:
NeSy 2022 as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR)
Envelope-Open a.garcez@city.ac.uk (A. d. Garcez); ernesto.jimenez-ruiz@city.ac.uk (E. Jiménez-Ruiz)
GLOBE https://www.city.ac.uk/about/people/academics/artur-davila-garcez (A. d. Garcez);
https://www.city.ac.uk/about/people/academics/ernesto-jimenez-ruiz (E. Jiménez-Ruiz)
Orcid 0000-0001-7375-9518 (A. d. Garcez); 0000-0002-9083-4599 (E. Jiménez-Ruiz)
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings CEUR Workshop Proceedings (CEUR-WS.org)
http://ceur-ws.org
ISSN 1613-0073
1
https://www.city-data-science-institute.com/nesy
2
http://www.neural-symbolic.org/
3
https://sites.google.com/view/nesy-2022/
• Knowledge representation and reasoning using deep neural networks;
• Symbolic knowledge extraction from neural and statistical learning systems;
• Explainable AI methods, systems and techniques integrating connectionist and sym-
bolic AI;
• Neural-symbolic cognitive agents;
• Biologically-inspired neuro-symbolic integration;
• Integration of logics and probabilities in neural networks;
• Neural-symbolic methods for structure learning, transfer learning, meta, multi-task and
continual learning, relational learning;
• Novel connectionist systems able to perform traditionally symbolic AI tasks (e.g. abduc-
tion, deduction, out-of-distribution learning);
• Novel symbolic systems able to perform traditionally connectionist tasks (e.g. learning
from unstructured data, distributed learning);
• Applications of neural-symbolic and hybrid systems, including in simulation, finance,
healthcare, robotics, Semantic Web, software engineering, systems engineering, bioinfor-
matics and visual intelligence.
NeSy received 21 submissions for peer-review; out of these, 15 papers were accepted for
presentation in the workshop and inclusion within these proceedings. NeSy also featured 3
invited talks:
Forough Arabshahi Facebook
Hannes Leitgeb Ludwig-Maximilians-University Munich
William Cohen Google AI
Organisation
Organising Committee
Artur d’Avila Garcez City, University of London
Luis Lamb University of Rio Grande do Sul
Pasquale Minervini University College London
Ernesto Jiménez Ruiz City, University of London
Danny Silver Acadia University
Pranava Madhyastha City, University of London
Program Chairs
Artur d’Avila Garcez City, University of London
Ernesto Jiménez Ruiz City, University of London
Local Organisation
Bridget Gundry Imperial College London
Alireza Tamaddoni-Nezhad Imperial College London
Stephen Muggleton Imperial College London
Program Committee
Asan Agibetov Medical University of Vienna
Vito Walter Anelli Politecnico di Bari
Federico Bianchi Bocconi University
Jiaoyan Chen University of Oxford
Alessandro Daniele Fondazione Bruno Kessler
Elvira Domínguez Universidad Politécnica de Madrid
Ivan Donadello Free University of Bozen-Bolzano
Vasilis Efthymiou ICS-FORTH
Eleonora Giunchiglia University of Oxford
Dagmar Gromann University of Vienna
Pascal Hitzler Kansas State University
Robert Hoehndorf King Abdullah University of Science and Technology
Steffen Hölldobler Dresden University of Technology
Andreas Holzinger Medical University and Graz University of Technology
Alejandro Jaimes Aicure
Kristian Kersting TU Darmstadt
Kai-Uwe Kuehnberger University of Osnabrck, Institute of Cognitive Science
Thomas Lukasiewicz University of Oxford
Pranava Madhyastha City, University of London
Bassem Makni IBM
Robin Manhaeve Katholieke Universiteit Leuven
Summaya Mumtaz University of Oslo
Heiko Paulheim University of Mannheim
Catia Pesquita LaSIGE, Faculdade de Ciências, Universidade de Lisboa
Alina Petrova University of Oxford
Francesca Rossi IBM
Md Kamruzzaman Sarker University of Hartford
Hava Siegelmann University of Massachusetts Amherst
Daniel L. Silver Acadia University
Michael Spranger Sony Computer Science Laboratories Inc.
Kavitha Srinivas IBM
Andreas Theodorou Umeå University
Son Tran The University of Tasmania
Frank Van Harmelen Vrije Universiteit Amsterdam
Tillman Weyde City, University of London
Gerson Zaverucha Federal University of Rio de Janeiro (UFRJ)
Additional Reviewers
Abhilekha Dalal Kansas State University
Aaron Eberhart Kansas State University
Zhenwei Tang University of Toronto
Chenxi Whitehouse City, University of London
Acknowledgements
We thank all members of the program committee, additional reviewers, keynote speakers,
authors and local organizers for their efforts. We would also like to acknowledge that the
work of the workshop organisers was greatly simplified by using the EasyChair conference
management system and the CEUR open-access publication service.