May 15, 2021

1st International Joint Conference on Learning & Reasoning (IJCLR 2021)

The 1st International Joint Conference on Learning & Reasoning (IJCLR 2021) will take place from  25 to 27 October 2021 as a fully virtual event. The conference is organised by the Institute of Informatics & Telecommunications of NCSR Demokritos, in Athens, Greece.

Important Dates
Conference track: submissions due June 30 2021
Submission instructions: http://lr2020.iit.demokritos.gr/papers
Scope

A crucial milestone for taking full advantage of the AI potential is the endowment of algorithms that learn from experience with the ability to consult existing knowledge and reason with what has already been learned. Integrating learning and reasoning constitutes one of the key open questions in AI, and holds the potential of addressing many of the shortcomings of contemporary AI approaches, including the black-box nature and the brittleness of deep learning, and the difficulty to adapt knowledge representation models in the light of new data. Integrating learning and reasoning calls for approaches that combine knowledge representation and machine reasoning techniques with learning algorithms from the fields of neural, statistical and relational learning.

IJCLR 2021 brings together four international conferences & workshops, addressing all aspects of combining knowledge representation & machine reasoning with statistical, neural and symbolic learning:

  • The 30th International Conference on Inductive Logic Programming (ILP).
  • The 15th International Workshop on Neural-Symbolic Learning & Reasoning (NeSy).
  • The 10th International Workshop on Statistical Relational Artificial Intelligence (StarAI).
  • The 10th International Workshop on Approaches and Applications of Inductive Programming (AAIP).

IJCLR aims at bringing together researchers and practitioners working on various aspects of learning & reasoning, via presentation of cutting-edge research on topics of special interest to the participating conferences/workshops. In addition to each of the four events’ individual programs, which will be held in parallel, IJCLR aims to promote collaboration and cross-fertilization between different approaches and methodologies to integrating learning & reasoning, via joint keynotes, panel discussions and poster sessions.

IJCLR invites paper submissions on all aspects of learning and reasoning, on topics where machine learning is combined with machine reasoning or knowledge representation. Topics of interest include, but are not limited to:

  • Theory & foundations of logical & relational learning.
  • Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies.
  • Statistical Relational AI, including structure/parameter learning for probabilistic logic languages, relational probabilistic graphical models, kernel-based methods, neural-symbolic learning.
  • Techniques that integrate neural, statistical & symbolic learning.
  • Techniques addressing aspects of integrating learning, reasoning & optimization.
  • Knowledge representation and reasoning in deep neural networks.
  • Symbolic knowledge extraction from neural and statistical learning models.
  • Neural-symbolic cognitive models.
  • Reasoning and hybrid learning (statistical/neural/symbolic) for interpretable, explainable, and trustworthy AI.
  • Inductive methods for program synthesis.
  • Example-driven programming.
  • Combining logic and functional program induction.
  • Meta-interpretative learning & predicate invention.
  • Scaling-up logical & relational learning: parallel & distributed learning techniques, online learning and learning structured representations from data streams.

There are two options for paper submissions:

A Conference Track, regarding submissions to one of the conferences/workshops participating at IJCLR 2021 (ILP, NeSy, StarAI, AAIP). Paper formatting, proceedings etc. will adhere to each conference/workshop’s tradition. In addition to the separate tracks for each event there is also a “General Track”, where authors are invited to submit work that is relevant to IJCLR, but it does not necessarily fall within the scope of one of ILP, NeSy, StarAI or AAIP. The submission deadline for the conference track (ILP, NeSy, StarAI, AAIP, or the general track) is June 30 2021. IJCLR also features a “recently published papers” track. Submission dates for this track will be announced at a later time.

A Journal Track, supported by the Machine Learning Journal (MLJ), soliciting submissions on all aspects of Learning and Reasoning. Journal track papers appear online upon acceptance and authors will be invited to present their work at the conference. The journal track invites mature, high-quality work. Papers are reviewed following standard reviewing procedures for MLJ.

Information and guidelines regarding paper submission to one of IJCLR’s tracks may be found here: http://lr2020.iit.demokritos.gr/papers/

The IJCLR steering committee and organisation team:

Luc De Raedt, KU Leuven, Belgium
Stephen Muggleton, Imperial College London, UK
Artur d’Avila Garcez, City University of London, UK
Ute Schmid, University of Bamberg, Germany
Cèsar Ferri, Universitat Politènica de València, Spain
Angelika Kimmig, Cardiff University, UK
Sebastijan Dumančić, KU Leuven, Belgium
Jay Pujara, University of Southern California, USA
Nikos Katzouris, NCSR “Demokritos”, Greece
Alexander Artikis, University of Pireaus & NCSR “Demokritos”, Greece

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