- From: Ernesto Jimenez-Ruiz <ernesto.jimenez.ruiz@gmail.com>
- Date: Mon, 16 May 2022 11:22:42 +0100
- To: semantic-web@w3.org
- Message-ID: <CA+VyRy-CU5BDW3AKFFsTo==bppp5Ria7zMpB5F_TXQ3wpUCCSA@mail.gmail.com>
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
Received on Monday, 16 May 2022 10:23:07 UTC