Connectionists: Call for Participation: "Cognitive Computation - Integrating Neural and Symbolic Approaches" @ NIPS 2016 (Workshop, Friday, December 9, 2016)

[Tarek R. Besold]

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                   Cognitive Computation: 

Integrating Neural and Symbolic Approaches

                   (CoCo @ NIPS 2016)

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Workshop at NIPS 2016, Barcelona, Spain

December 09, 2016

 

 

 

== WORKSHOP WEBPAGE ==

 

http://www.neural-symbolic.org/CoCo2016/

 

 

 

== KEYNOTE SPEAKERS ==

 

Barbara Hammer, Bielefed University

Pascal Hitzler, Wright State University

Risto Miikkulainen, University of Texas at Austin & Sentient Technologies,
Inc.

Dan Roth, University of Illinois at Urbana-Champaign

Kristina Toutanova, Microsoft Research

 

 

 

== PANELISTS ==

 

Yoshua Bengio, University of Montreal

Marco Gori, University of Siena

Alessio Lomuscio, Imperial College London

Gary Marcus, New York University & Geometric Intelligence, Inc.

Stephen Muggleton, Imperial College London

Michael Witbrock, IBM Research

 

 

== MISSION STATEMENT ==

 

While early work on knowledge representation and inference was primarily
symbolic, the corresponding approaches subsequently fell out of favor, and
were largely supplanted by connectionist methods. In this workshop, we will
work to close the gap between the two paradigms, and aim to formulate a new
unified approach that is inspired by our current understanding of human
cognitive processing. This is important to help improve our understanding of
Neural Information Processing and build better Machine Learning systems,
including the integration of learning and reasoning in dynamic
knowledge-bases, and reuse of knowledge learned in one application domain in
analogous domains.

 

The workshop brings together established leaders and promising young
scientists in the fields of neural computation, logic and artificial
intelligence, knowledge representation, natural language understanding,
machine learning, cognitive science and computational neuroscience. Invited
lectures by senior researchers will be complemented with presentations based
on contributed papers reporting recent work (following an open call for
papers) and a poster session, giving ample opportunity for participants to
interact and discuss the complementary perspectives and emerging approaches.

 

The workshop targets a single broad theme of general interest to the vast
majority of the NIPS community, namely translations between connectionist
models and symbolic knowledge representation and reasoning for the purpose
of achieving an effective integration of neural learning and cognitive
reasoning, called neural-symbolic computing. The study of neural-symbolic
computing is now an established topic of wider interest to NIPS with topics
that are relevant to almost everyone studying neural information processing.

 

 


== KEYWORDS == 

 

The following list gives some (but by far not all) relevant keywords for the
CoCo @ NIPS 2016 workshop:

 

- neural-symbolic computing; 

- language processing and reasoning; 

- cognitive agents; 

- multimodal learning; 

- deep networks; 

- knowledge extraction; 

- symbol manipulation;

- variable binding; 

- memory-based networks; 

- dynamic knowledge-bases;

- integration of learning and reasoning;

- explainable AI.

 

 

 

== WORKSHOP ORGANIZERS ==

 

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

- Antoine Bordes (Facebook AI Research, USA)
- Artur d'Avila Garcez (City University London, UK)
- Greg Wayne (Google DeepMind, UK)

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