[Event at CIG] [CFP][IJCLR 2023] 3rd International Joint Conference on Learning and Reasoning (IJCLR 2023) - Remainder

[Riccardo Zese]

*** Apologies for cross-posting ***


*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

-------------

IJCLR’s journal track, the special issue on Learning and Reasoning
supported by the

Machine Learning Journal (MLJ), is accepting paper submissions on regular
cut-off

dates since February 2020. Submissions are solicited on all aspects of
Learning and

Reasoning and topics where machine learning is combined with machine
reasoning or

knowledge representation.

Papers are published online by MLJ upon acceptance and authors of accepted
papers

are invited to present their work at the conference.

For cut-off dates, starting from June 15th, 2023 please refer to:

https://ijclr2023.di.uniba.it/~ijclr2023/dates/index.html

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.

Additionally, IJCLR features a general “Conference Track” where authors are
invited

to submit work that is relevant to the conference but does not necessarily
fall

within the purview of a particular workshop (ILP, AAIP, CogAI).

Abstract submission: 26th June 2023

Paper submission:    3rd July 2023

Author notification: 25th August 2023

Camera-ready due:    8th September 2023

Recently Published Papers Track

-------------------------------

IJCLR solicits submissions of high-quality papers on combining learning and

reasoning that have been recently published, or 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.

Papers will be accepted on the grounds of relevance and quality of the
original

publication venue. Accepted papers will be presented at IJCLR.

Paper submission:    1st September 2023

Author notification: 15th September 2023


-- 
Riccardo Zese, PhD
Università di Ferrara
Via Luigi Borsari 46, I-44121, Ferrara, Italy
Tel.: +39 0532974802
www.unife.it