We would like to point the community's attention to an additional special issue on "Inductive Logic Programming: Theory, Algorithms and Applications", supported by the Algorithms journal. The special issue has a submission deadline (August 23 2021) that follows IJCLR's last cut-off date for the Journal Track and its scope is very similar to that of IJCLR.
The 1st International Joint Conference on Learning & Reasoning (IJCLR) will take place online, from 25 to 27 of October 2021.
The rapid progress in machine learning has been the primary reason for a fresh look in the transormative potential of AI as a whole during the past decade. A crucial milestone for taking full advantage of this 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.
Four international conferences and workshops addressing such research topics join forces in the 1st International Conference on Learning & Reasoning (IJCLR):
- The 30th International Conference on Inductive Logic Programming (ILP). The ILP conference series has been the premier forum for work on logic-based approaches to learning for three decades. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon to other forms of relational learning and to probabilistic approaches.
- The 15th International Workshop on Neural-Symbolic Learning & Reasoning (NeSy). The NeSy workshop series is a major venue for the presentation and discussion of key topics related to neural-symbolic computing, i.e. combinations of neural and logic-based approaches to learning & reasoning.
- The 10th International Workshop on Statistical Relational Artificial Inteligence (StarAI). The StarAI workshop series studies combinations of logic with probability theory and focuses on statistical inference and learning with relational and first-order logical representations.
- The 10th International Workshop on Approaches and Applications of Inductive Programming (AAIP). The AAIP workshop series focuses on learning executable programs in arbitrary programming languages, from incomplete specifications. e.g. from examples of their input/output behaviour.
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.
Call for Papers
Journal Track: IJCLR’s journal track, the special issue on Learning and Reasoning supported by the Machine Learning Journal (MLJ), will be accepting paper submissions throughout the period up to the conference, on regular cut-off dates. Submissions are solicited on all aspects of Learning and Reasoning and topics where machine learning is combined with machine reasoning or knowledge representation. Papers will be published online by MLJ upon acceptance and authors of accepted papers will be invited to present their work at the conference. Please follow the Call for Papers link for more information and guidelines on paper submissions to the journal track.
Conference Track: Each conference/workshop participating in IJCLR will be soliciting paper submissions on the topics of its interest. Accepted papers will be presented at IJCLR. Please follow the Call for Papers link for more information and guidelines on paper submissions to the conference track.