NeSy 2022

The NeSy workshop series celebrates neurosymbolic AI since 2005. NeSy is about the integration of neural and symbolic AI, combining statistical machine learning based on neural nets with knowledge representation and reasoning from symbolic AI.

Neural networks and statistical Machine Learning have achieved industrial relevance in a number of areas from healthcare to finance and business, obtaining state-of-the-art performance at language modelling, speech and image recognition, sensor data and graph analytics. Symbolic AI is challenged by such unstructured large data, but offers sound and well-understood formal reasoning and explanation via knowledge representation that can be inspected to interpret how decisions follow from data. Neural and symbolic AI approaches also contrast in the problems that they excel at: deep learning excels at scene recognition, but fails at planning and rich deductive reasoning.

Neurosymbolic AI aims to build rich computational AI models, systems and applications by combining neural and symbolic learning and reasoning. It hopes to create synergies among the strengths of neural and symbolic AI while overcoming their complementary weaknesses. The NeSy workshop series is the premier venue for the presentation and discussion of the theory and practice of neural-symbolic computing. Since NeSy 2005 in Edinburgh, Scotland, the workshop provided an atmosphere for the free exchange of ideas bringing together the community of scientists and practitioners that straddle the line between connectionism and symbolic AI.

NeSy is the annual meeting of the Neural-Symbolic Learning and Reasoning Association.

COVID19: The workshop is being planned to take place at Cumberland Lodge, Windsor (20min from Heathrow Airport) and online as a hybrid event. If COVID19 makes the meeting impossible, plans for a fully virtual event will be announced here.

IJCLR 2022 keynote and 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

Call for Journal Track Submissions - Machine Learning journal

Deadlines: 1st Feb 2022, 1st June 2022, 1st Aug 2022

NeSy invites theoretical and applied paper submissions to the ML journal - learning and reasoning track - combining neural networks and symbolic AI. We further invite paper submissions containing experimental and in-the-wild systems having neural-symbolic computing as a strong use case. Topics of interest include, but are not limited to:

• 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.

Authors of accepted papers will be invited to present their work at the NeSy 2022 Workshop.

Call for NeSy 2022 Workshop Paper Submissions

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

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 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. You should use the CEUR Latex template or the CEUR Word template.

All submitted papers will be judged based on their relevance, originality, significance, technical quality and organisation.

Please submit your papers via EasyChair (select track NeSy 2022). All questions about submissions should be addressed to ernesto.jimenez-ruiz@city.ac.uk and a.garcez@city.ac.uk.

Important Dates

• Paper submission deadline (extended): 7 June 2022 (Anywhere on Earth)

• Author Notification: 15 July 2022

• Camera-ready paper due: 29 July 2022 (Anywhere on Earth)

• NeSy Workshop dates: 28-30 September 2022

format and registration

The workshop will include joint IJCLR keynote talks, NeSy invited talks, joint IJCLR journal track and poster presentations, joint IJCLR top AI recently-published conference and journal paper presentations, specialised NeSy workshop paper presentations, tutorials or competition, with extra time for Q&A and audience discussion to allow the group to obtain a better understanding of the issues, challenges and ideas being presented. Authors of accepted papers may be assigned either an oral or poster presentation slot in the final workshop programme. Accepted workshop track papers will be published by CEUR. Accepted journal track papers will be published by Springer Nature. Registration will be open to anybody willing to participate and is mandatory for at least one author of each accepted paper.