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31st International Conference on Inductive Logic Programming, ILP2022 @ IJCLR

ILP 2022

The 31st International Conference on Inductive Logic Programming (ILP 2022) will be held in Cumberland Lodge, Windsor Great Park, United Kingdom, 28-30 September 2022.

Inductive Logic Programming (ILP) is a subfield of machine learning, focusing on learning logical representations from relational data. The ILP conference series, started in 1991, is the premier international forum for learning from structured or semi-structured relational data, multi-relational learning and data mining. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon significantly and welcomes contributions to all aspects of learning in logic, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.

Invited Speakers

Véronique Ventos
Véronique Ventos
Presentation Title: Nook: a new generation AI dedicated to the game of Bridge

Presentation Abstract: On March 25 2022, at the end of a two-day Bridge tournament against eight world champions the Bridge AI Nook was declared victorious. This is a world première the game of bridge still being a great challenge to Artificial Intelligence.

NooK is a new generation AI according to several aspects.

The first one is related to the fact that Nook is hybrid since it is made up of symbolic rule-based modules and neural network one. Rather than learning by playing a huge amount of games, it begins by recovering and modeling human expertise in a Background Knowledge described using a relational logic. Moreover Nook is able to provide explanations related to each decision.

The robot is developed by NukkAI, a French start-up that we will present at the start of the talk. In the following we will give the basics of the game of bridge and its distinguishing characteristics from other mind games The other two parts will be devoted to the challenge and the description of the NooK modules.

Bio: Dr Véronique Ventos has a PhD in Artificial Intelligence and was an Associate Professor at Paris-Sud University where she investigated Logical Knowledge Representation and Symbolic Machine Learning. She is also a world reference in the field of AI applied to games.

In 2018 she cofounded NukkAI where as Head of Research she leads research on hybrid AI. NukkAI is committed to creating new generation AIs at the service of humans instead of replacing them and uses as a sandbox the game of Bridge which has resisted AI so far, unlike chess or Go.

In 2022 her team achieved a major scientific breakthrough when Nook, the hybrid explainable AI designed by NukkAI, beat 8 world champions at a Bridge challenge that took place in Paris.

In 2020 Forbes ranked Veronique Ventos 3rd woman defining the 21st Century AI movement.

Call for Papers

We solicit submissions in all areas of learning in logic and multi-relational data mining. Areas of interest include, but are not limited to:
  • Theory of ILP, foundations of logical & relational learning, computational learning theory.
  • Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies.
  • Statistical relational learning, including structure/parameter learning for probabilistic logic languages, relational probabilistic graphical models, kernel-based methods, neural- symbolic learning.
  • Meta-interpretative learning & predicate invention.
  • Semi-supervised & unsupervised relational learning.
  • Methods for scaling-up ILP, parallel & distributed relational learning.
  • Incremental & online relational learning, learning from data streams.
  • Applications of ILP.
We solicit three types of submissions:
  1. Conference papers, describing original work with appropriate experimental evaluation and/or a self-contained theoretical contribution. Submitted conference papers should not have been published, or be under review for a journal, or another conference with published proceedings. Conference papers may be either long papers, of up to 15 pages, including references, or short papers of up to 6-9 pages, including references. Long papers should contain a substantial contribution that justifies their length, e.g. proofs of extensive experimental studies. Accepted conference papers will be published by the Springer LNAI conference proceedings.
  2. Late-breaking abstracts, briefly outlining novel ideas and proposals that the authors would like to present at the conference. These could include e.g. original work in progress without conclusive experimental findings, or other relevant work, not yet ready for publication. Submissions of late-breaking abstracts will be accepted/rejected on the grounds of relevance. Accepted late-breaking abstracts will be published on the conference website. Late-breaking abstracts must not exceed 4 pages, including references.
  3. Recently published papers relevant to ILP, or papers recently accepted for publication by a first-class conference such as ECML/PKDD, ICML, KDD, ICDM, AAAI, IJCAI, etc. or journal such as MLJ, DMKD, JMLR etc. These will be accepted/rejected on the grounds of relevance and quality of the original publication venue. For papers of this category a link to the original work will be published on the conference website. Authors should submit the abstract and the PDF file of the original submission, specifying in the abstract the original venue where the papar was accepted in addition to the acceptance date. Authors submitting a recently published paper should submit it through IJCLR’s “Recently Published Papers Track” option from the submission page.
All accepted papers will be assigned a presentation slot at the conference. Long conference papers will be assigned an extended slot, while short conference papers, late-breaking abstracts and recently published papers will be assigned a reduced slot.

Additionally, authors of accepted papers will have the opportunity to present their papers during the joint poster sessions. At least one of the authors of accepted papers/late-breaking abstracts must register for the conference and present their work.

Paper submission

Submissions will be handled by EasyChair. To submit a paper to ILP, authors are invited to follow the submission link and select the ILP track. For recently published papers please use the “Recently Published Papers Track”.

Submissions must be in Springer LNCS format, according to the Springer LNCS author instructions. Already published papers should be submitted in their original format and the authors should indicate the original publication venue.


Conference papers (either short or long) will be included in the conference proceedings, to be published by Springer Verlag in the Lecture Notes in Artificial Intelligence (LNAI) Series.

Late Breaking abstracts will be published on the conference website. A link to recently published papers will be uploaded to the conference website.

Important dates

Please visit the Important Dates page for more information on the ILP Conference important dates.


Program Chairs:

Stephen Muggleton, Imperial College London, UK
Alireza Tamaddoni-Nezhad, University of Surrey, UK

Program Committee Members:

Lun Ai, Imperial College London, UK
Alexander Artikis, NCSR “Demokritos”, Greece
Michael Bain, The University of New South Wales, Australia
Krysia Broda, Imperial Collge London, UK
William Cohen, Google AI, USA
Andrew Cropper, University of Oxford, UK
James Cussens, University of Bristol, UK
Wang-Zhou Dai, Nanjing University, China
Richard Evans, DeepMind, Google, UK
Céline Hocquette, University of Oxford, UK
Katsumi Inoue, National Institute of Informatics (NII), Japan
Dimitar Kazakov, University of York, UK
Nikos Katzouris, NCSR “Demokritos”, Greece
Ross King, Chalmers University of Technology, Sweden
Nada Lavrač, Jozef Stefan Institute, Slovenia
Francesca Lisi, Università degli Studi di Bari Aldo Moro, Italy
Stephen Muggleton (Track Chair), Imperial College London, UK
Sriraam Natarajan, University of Texas at Dallas, USA
Aline Paes, Federal Fluminense University (UFF), Brazil
Stassa Patsantzis, Imperial College London, UK
Fabrizio Riguzzi, University of Ferrara, Italy
Celine Rouveirol, The Laboratoire d’Informatique de Paris-Nord, France
Alessandra Russo, Imperial College London, UK
Ashwin Srinivasan, Birla Institute of Technology & Science (BITS), India
Ute Schmid, University of Bamberg, Germany
Mikkel Schmidt, Technical University of Denmark, Denmark
Alireza Tamaddoni-Nezhad (Track Chair), University of Surrey, UK
Gerson Zaverucha, Federal University of Rio de Janeiro (UFRJ), Brazil
Filip Zelezny, Czech Technical University, CZ

Past Conferences

ILP 2020-21, Virtual at IJCLR 2021
ILP 2019, Plovdiv, Bulgaria
ILP 2018, Ferrara, Italy
ILP 2017, Orléans, France
ILP 2016, London, UK
ILP 2015, Kyoto, Japan
ILP 2014, Nancy, France
ILP 2013, Rio de Janeiro, Brazil
ILP 2012, Dubrovnik, Croatia
ILP 2011, Cumberland Lodge, Windsor Great Park, United Kingdom
ILP 2010, Firenze, Italy
ILP 2009, Leuven, Belgium
ILP 2008, Prague, Czech Republic
ILP 2007, Corvallis, Oregon, USAc
ILP 2006, Santiago, Spain
ILP 2005, Bonn, Germany
ILP 2004, Porto, Portugal
ILP 2003, Szeged, Hungary
ILP 2002, Sydney, Australia
ILP 2001, Strasbourg, France
ILP 2000, London, UK
ILP 1999, Bled, Slovenia
ILP 1998, Madison, Wisconsin, USA
ILP 1997, Prague, Czech Republic
ILP 1996, Stockholm, Sweden
ILP 1995, Leuven, Belgium
ILP 1994, Bonn, Germany
ILP 1993, Bled, Slovenia
ILP 1992, Tokyo, Japan
ILP 1991, Viana do Castelo, Portugal