[DL] NeSy'17, the 12th International Workshop on Neural-Symbolic Learning and Reasoning: Call for submissions of late abstracts (deadline: June 18, 2017)

[Tarek R. Besold]

=== NeSy'17: 12th International Workshop on Neural-Symbolic Learning and
Reasoning ===

 

 

Date: July 17 & 18, 2017.

Venue: City, University of London, UK.

 

 

*** DEADLINE FOR SUBMISSION OF LATE ABSTRACTS:  June 18, 2017 ***

 

 

= WEBSITE =

http://www.neural-symbolic.org/NeSy17/

 

 

= KEYNOTE SPEAKERS =

 

Mauro Ferreira, Trinity College Dublin.

Zoubin Ghahramani, University of Cambridge & Uber AI Labs.

Alex Graves, Google DeepMind.

Pascal Hitzler, Wrights State University.

Chris Percy, BetBuddy Ltd.

Murray Shanahan, Imperial College London.

 

 

= INDUSTRY PANEL =

 

Simo Dragicevic, CEO, BetBuddy Ltd. (moderator).

John McNamara, Senior Inventor, IBM.

James Davidson, Software Engineer, Google Brain.

Jamie Woodhouse, Managing Director and Head of Financial Services Management
Consulting and Finance and Risk, Accenture.

Lonnie Hamm, Head of Data Science, Kindred Group Plc.

Amir Saffari, Director of Applied AI, BenevolentAI.

 

 

= INDUSTRY TRACK ADDED =

 

For the first time, the 2017 edition of NeSy will feature an industry track
on the second day of the workshop, July 18, 2017.

The track will cover industry applications of neural-symbolic methods
(including knowledge extraction from statistical data, neural-symbolic
methods integrating data and knowledge for the semantic web, etc.), with the
program featuring contributions from industry and academia alike. Also,
there will be time to mix and mingle, exchange experiences from
practitioners on both sides, and develop joint ideas and projects for the
future.

 

 

= REGISTRATION =

 

The registration for NeSy'17 has become available from the City, University
of London eStore:
http://estore.city.ac.uk/product-catalogue/conference-events/school-specific
-events/12th-international-workshop-on-neuralsymbolic-learning-and-reasoning
-nesy17

 

 

= CALL FOR PAPERS =

 

Artificial Intelligence researchers continue to face huge challenges in
their quest to develop truly intelligent systems. The recent developments in
the field of neural-symbolic integration bring an opportunity to integrate
well-founded symbolic artificial intelligence with robust neural computing
machinery to help tackle some of these challenges.

 

The Workshop on Neural-Symbolic Learning and Reasoning is intended to create
an atmosphere of exchange of ideas, providing a forum for the presentation
and discussion of the key topics related to neural-symbolic integration.

 

Topics of interest include but are not limited to:

- The representation of symbolic knowledge by connectionist systems;

- Neural Learning theory;

- Integration of logic and probabilities, e.g., in neural networks, but also
more generally;

- Structured learning and relational learning in neural networks;

- Logical reasoning carried out by neural networks;

- Integrated neural-symbolic approaches;

- Extraction of symbolic knowledge from trained neural networks;

- Integrated neural-symbolic reasoning;

- Neural-symbolic cognitive models;

- Biologically-inspired neural-symbolic integration;

- Applications in robotics, simulation, fraud prevention, natural language
processing, semantic web, software engineering, fault diagnosis,
bioinformatics, visual intelligence, etc.

 

 

** Submission **

 

Researchers and practitioners are invited to submit original papers that
have not been submitted for review or published elsewhere:

- Submitted papers must be written in English, must be formatted according
to the Springer LNCS style (templates and sample files are available from
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui
delines), and should not exceed 10 pages (excluding references/bibliography)
in the case of research and experience papers, and 6 pages (excluding
references/bibliography) in the case of position papers or technical notes.

- All submitted papers will be judged based on their relevance, originality,
significance, technical quality, and organisation.

- Papers must be submitted through EasyChair at
https://easychair.org/conferences/?conf=nesy17.

- Additionally, presentations based on extended abstracts will be
considered. These shall allow to report on latest results which had not been
available at the time of paper submission. Therefore, the abstract deadline
is significantly closer to the workshop date. Extended abstracts may not
exceed 3 pages (including references/bibliography) and should aim to give a
good impression of the type of work conducted, the achieved results and
their importance for the field.

 

** Presentation **

 

Selected papers and abstracts will be presented during the workshop. The
workshop will include extra time for discussion of the presentations
allowing the group to have a better understanding of the issues, challenges,
and ideas being presented.

 

 

** Publication **

 

Accepted papers and abstracts will be published in official workshop
proceedings within the CEUR-WS.org series. Accepted abstracts will also be
included in the official workshop proceedings.

 

 

= IMPORTANT DATES =

 

Notification of full paper acceptance/rejection: June 14, 2017

Deadline for submission of late abstracts: June 18, 2017

Notification of abstract acceptance/rejection: June 25, 2017

Camera-ready paper due: July 2, 2017

Workshop date: July 17-18, 2017

 

 

= WORKSHOP ORGANISERS =

 

General Chairs: 

- Tarek R. Besold (University of Bremen, Germany)

- Artur d'Avila Garcez (City, University of London, UK)

- Isaac Noble (Playground Global, U.S.A.)

 

Local Chair at City, University of London: Simon Odense

On-Site Organisation Support: Yihan Wu (University of Minnesota, U.S.A.)

 

 

= PROGRAMME COMMITTEE =

 

- Raquel Alhama, University of Amsterdam

- James Davidson, Google Brain

- Richard Evans, Google DeepMind

- Barbara Hammer, Bielefeld University

- Thomas Icard, Stanford University

- Kai-Uwe Kuehnberger, University of Osnabrueck

- Luis Lamb, Universidade Federal do Rio Grande do Sul

- Thomas Lukasiewicz, University of Oxford

- Edjard Mota, Federal University of Amazonas

- Terrence C. Stewart, University of Waterloo

- Serge Thill, University of Skoevde

- Son Tran, CSIRO Australia

- Stefan Wermter, University of Hamburg

 

 

--

Digital Media Lab
Center for Computing and Communication Technologies (TZI)
University of Bremen

Email: Tarek.Besold at uni-bremen.de
Web: http://www.cat-ai.org

 

 

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