[DL] Call for Participation: Neural-Symbolic Learning and Reasoning (NeSy) 2017 -- London, UK -- July 17&18, 2017

Tarek R. Besold tarek.besold at googlemail.com
Wed Jul 5 16:40:26 CEST 2017

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



Date: July 17 & 18, 2017.

Venue: City, University of London, UK.









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.





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.





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





The registration for NeSy'17 is available from the City, University of
London eStore:





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.





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.)





- 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

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