Call for Papers: LNMR 2013 - 1st Int. Workshop on Learning and Nonmonotonic Reasoning

[Chiaki Sakama]

***Apologies for cross-posting***

--------------- Call for Papers -------------------------------------------

1st International Workshop on Learning and Nonmonotonic Reasoning (LNMR
2013)
http://research.nii.ac.jp/il/lnmr2013.html

September 2013, Corunna, Spain

co-located with the
12th International Conference on Logic Programming and
Nonmonotonic Reasoning (LPNMR 2013)
http://lpnmr2013.udc.es/

-------------------------------------------------------------------------------
*Aims and scope

Knowledge representation and reasoning (KR&R) and machine learning are
two important fields in artificial intelligence (AI). (Nonmonotonic)
logic programming (NMLP) and answer set programming (ASP) provide formal
languages for representing and reasoning with commonsense knowledge and
realize declarative problem solving in AI. On the other side, inductive
logic programming (ILP) realizes inductive machine learning in logic
programming, which provides a formal background to inductive learning
and the techniques have been applied to the fields of relational
learning and data mining. Generally speaking, NMLP and ASP realize
nonmonotonic reasoning while lack the ability of (inductive) learning.
By contrast, ILP realizes inductive machine learning while most
techniques have been developed under the classical monotonic logic. With
this background, some researchers attempt to combine techniques in the
context of nonmonotonic inductive logic programming (NMILP). Such
combination will introduce a learning mechanism to programs and would
exploit new applications on the NMLP side, while on the ILP side it will
extend the representation language and enable to use existing solvers.
Cross-fertilization between learning and nonmonotonic reasoning can also
occur in such as:

- the use of answer set solvers for Inductive Logic Programming
- speed-up learning while running answer set solvers
- learning action theories
- learning transition rules in dynamical systems
- learning normal, extended and disjunctive programs
- formal relationships between learning and nonmonotonic reasoning
- abductive learning
- updating theories with induction
- learning biological networks with inhibition
- applications involving default and negation

This workshop is the first attempt to provide an open forum for the
identification of problems and discussion of possible collaborations
among researchers with complementary expertise. To facilitate
interactions between researchers in the areas of (machine) learning and
nonmonotonic reasoning, we welcome contributions focusing on problems
and perspectives concerning both learning and nonmonotonic reasoning.

*Submissions

We solicit original papers which are not published elsewhere. Papers
should be written in English and be formatted according to the Springer
Verlag LNCS style, which can be obtained from
http://www.springeronline.com. Every paper should not exceed 12 pages
including the title page, references and figures. All submissions will
be peer-reviewed and all accepted papers must be presented at the workshop.

*Proceedings

Workshop organizers are considering to publish an on-line proceedings in
a formal way. The details will be announced later. If there are several
good papers, a special journal issue will also be considered.

*Important Dates
Paper registration: June 30
Submission deadline: July 7
Notification: August 24
Final version due: September 7
Workshop: 1 or 2 days in September 15-19

*Workshop co-Chairs

Katsumi Inoue, National Institute of Informatics, Japan
Chiaki Sakama, Wakayama University, Japan

*Program Committee

Dalal Alrajeh (Imperial College London, UK)
Marcello Balduccini (Kodak Research Laboratories, USA)
Chitta Baral (Arizona State University, USA)
Gauvain Bourgne (Universite' Pierre et Marie Curie, France)
Luc De Raedt (Katholieke Universiteit Leuven, Belgium)
Katsumi Inoue (National Institute of Informatics, Japan)
Francesca A. Lisi (Universita` degli Studi di Bari "Aldo Moro", Italy)
Stephen Muggleton (Imperial College London, UK)
Adrian Pearce (University of Melbourne, Australia)
Oliver Ray (University of Bristol, UK)
Chiaki Sakama (Wakayama University, Japan)
Taisuke Sato (Tokyo Institute of Technology, Japan)
Torsten Schaub (University of Potsdam, Germany)
-----------------------------------------------------------------------------


-------------- n?chster Teil --------------
Ein Dateianhang mit HTML-Daten wurde abgetrennt...
URL: <https://lists.tu-clausthal.de/cgi-bin/mailman/private/ifi-ci-event/attachments/20130513/cd1365fe/attachment.html>