LLLL 2011 - Seventh Workshop on Learning with Logics and Logics for Learning

Seventh Workshop on
Learning with Logics and Logics for Learning

CALL for PAPERS and PARTICIPATION
http://www.iip.ist.i.kyoto-u.ac.jp/LLLL09/

DEADLINE EXTENDED!!
New extended abstract submission deadline: February 6, 2011

March 28(Tue)-30(Wed), 2011
Osaka University Nakanoshima Center, Osaka, Japan
March 28 (Mon) : Invited talks shared with IBIS-ML and DMSM
March 29, 30(Wed) : Invited talks and Technical Sessions

Scope of the Workshop
Mathematical logic is investigated for representing human reasoning, in particular deductive inference, in mathematical manners. When logic is used for Machine Learning and Knowledge Discovery, deductive inference formalized in mathematical logic gives not only inference on data, but also defining generality relations between rules or patterns, and the relations give clear view in designing learning/discovery algorithms. In the recently situation that probability theory, statistics methods and information theory are strongly affected to Machine Learning and Knowledge Discovery, new types of mathematical logic are expected which should give impact to the area.
The aim of LLLL is to bring together researchers who are interested in both of the areas of Machine Learning and Computational Logic, and to have intensive discussions on various relations between the two with making their interchange more active.
The LLLL workshop was started as a domestic workshop in 2002. As an international workshop, we held LLLL at Kitakyushu in 2005, at Tokyo
in 2006, at Miyazaki in 2007, and at Kyoto in 2009.
Potential (but not exclusive) topics include:
- Machine Learning and Knowledge Discovery using logics
- Machine Learning and Knowledge Discovery
- Discovery using algebraic methods
- Algorithmic aspects of learning based on logics
- Logics for Machine Learning and Knowledge Discovery
- Machine Learning as a foundation of mathematics/mathematical procedures
- Amalgamation of logic-based learning and statistical/information theoretical learning
- Machine Learning and Knowledge from structured/semi-structured data

Collocated Workshops
LLLL2011 is collocated with IEICE IBISML(Information Based-Induction Sciences and Machine Learning), and DMSS2011, which are held respectively March 28-29, and 29-30 at the same site. The information on IBIS-ML and DMSS2009 is available at http://ibisml.org/english and http://ibisml.org/dmss2011/

Co-sponsor and support
LLLL2011 is co-sponsored by JST-ERATO MINATO Discrete Structure Manipulation System Project, by Department of Reasoning for Intelligence, The Institute of Scientific and Industrial Research, Osaka University, and by Grant-in-Aid for Scientific Research (A) 30230535 of JSPS. All of the international LLLL workshops are supported by JSAI SIG-FPAI (Special Interest Group of Fundamental Problems in Artificial Intelligence).

How to Submit
LLLL2010 accepts extended abstracts written in English only.
The abstracts are distributed in the workshop sites only
and not considered to be formal publications.
The extended abstract should be 1-8 pages in the format at the address:
http://www.dumbo.ai.kyutech.ac.jp/LLLL/jsaiws_temp...

The authors should send their submitted papers as a PDF file to
akihiro-AT-i.kyoto-u.ac.jp;hirata-AT-ai.kyutech.ac.jp;minato-AT-ist.hokudai.ac.jp (all).

Please write the text `[LLLL11:Extended Abstract Submission]' in the subject of the massage, and put the following in the body:
- The title of your extended abstract,
- A list of all authors and their affiliations (please add a "*" mark to the presenter),
- Name, Telephone number, and E-mail address of the corresponding author.

Registration fee
Free (Banquet fee will be announced later.)

Important dates
February 6, 2011 Extended abstract submission deadline //Extended!!//
February 28, 2011 Notification of acceptance/rejection
March 29-30, 2011 Workshop

Workshop Chair
Akihiro Yamamoto (Kyoto University)
PC Co-Chairs
Kouichi Hirata (Kyushu Institute of Technology)
Shin-ichi Minato (Hokkaido University)
Program Committee (current status)
Kouichi Hirata (Kyushu Institute of Technology)
Katsumi Inoue (National Institute of Infomatics)
Yoshitaka Kameya (Tokyo Institute of Technology)
Shin-ichi Minato (Hokkaido University)
Tetsuhiro Miyahara (Hiroshima City University)
Takayoshi Shoudai (Kyushu University)
Hiroo Tokunaga (Tokyo Metropolitan University)
Akihiro Yamamoto (Kyoto University)