[DL] [C4P]: 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy-2022)

Ernesto Jimenez-Ruiz ernesto.jimenez.ruiz at gmail.com
Mon May 16 12:23:33 CEST 2022


Dear all,

NeSy-2022 invites submissions for presentation at the workshop of the
latest and ongoing research work on neurosymbolic AI. Research papers in
any of the following areas of neural-symbolic computing are welcome:

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 symbolic 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. abduction, 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, bioinformatics and visual intelligence.

Publication:
All accepted papers will be published by CEUR and are expected to be
presented at the workshop. Accepted papers will be chosen for spotlight
oral and poster presentations at the workshop. Revised and extended
versions of the best papers will be invited for submission to the NeSy
Machine Learning journal track.

Submission:
Researchers and practitioners are invited to submit original papers that
are not being reviewed or published elsewhere. Submitted papers need not be
anonymous, must be written in English, should be formatted using single
column and 11pt font, and should not exceed 8 pages in the case of research
and experience papers, or 4 pages in the case of position papers, including
all figures, but excluding references and appendices. All submitted papers
will be judged based on their relevance, originality, significance,
technical quality and organisation. Submissions should follow the CEUR
style.

Please submit your paper via EasyChair at
https://easychair.org/conferences/?conf=ijclr2022 (select track NeSy 2022).

Important Dates:
Deadline for paper submission: 31 May 2022 (Anywhere on Earth)
Notification of paper acceptance: 15 July 2022
Camera-ready paper due: 29 July 2022 (Anywhere on Earth)
NeSy Workshop dates: 28-30 September 2022

The workshop is being planned to take place at Cumberland Lodge (
https://www.cumberlandlodge.ac.uk/), Windsor (20min from Heathrow Airport)
and online as a hybrid event. Please visit the workshop webpage at
https://sites.google.com/view/nesy-2022/home for any updates.

NeSy 2022 invited speakers:
Forough Arabshahi  Facebook, USA
William Cohen  Google AI, USA
Richard Evans  DeepMind, UK
Alexander Gray  IBM Research, USA
Noah Goodman  Stanford University, USA
Sumit Gulwani  Microsoft, USA
José Hernández-Orallo  Universitat Politècnica de València, Spain
Leslie Pack Kaelbling  MIT, USA
Luís Lamb  Universidade Federal do Rio Grande do Sul, Brazil
Hannes Leitgeb  Ludwig-Maximilians-Universität München, Germany
Pierre Lévy  Université de Montréal and INTLEKT Metadata Inc, Canada

NeSy 2022 workshop organisers:
Luis Lamb, University of Rio Grande do Sul, Brazil
Pasquale Minervini, University College London, UK
Danny Silver, Acadia University, Canada
Artur d'Avila Garcez, City, University of London, UK
Ernesto Jimenez-Ruiz, City, University of London, UK
Pranava Madhyastha, City, University of London, UK

Best regards
NeSy organisers

-- 
Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence

Department of Computer Science
School of Mathematics, Computer Science and Engineering
City, University of London
T: +44 (0)20 7040 0212
https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zih.tu-dresden.de/pipermail/dl/attachments/20220516/1ca8581e/attachment.htm>


More information about the dl mailing list