3rd International Joint Conference on Learning and Reasoning (IJCLR 2023)
13-15 November 2023, Bari, Italy
https://ijclr2023.di.uniba.it/
The rapid progress in machine learning has been the primary reason for a fresh look
in the transformative 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.
Three international conferences and workshops addressing such research topics join
forces in the 3rd International Conference on Learning & Reasoning (IJCLR 2023):
– The 32nd International Conference on Inductive Logic Programming (ILP)
– The 13th International Workshop on Approaches and Applications of Inductive
Programming (AAIP)
– The 1st International Workshop on Cognitive AI (CogAI)
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 three 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 plenary
keynotes/invited talks, panel discussions and poster sessions.
IJCLR 2023 sincerely invite your paper submissions to one of the following tracks:
Journal Track