Introduction
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.
Committee
Program Committee
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Derek Doran, Wright State University, USA
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Richard Evans, DeepMind, UK
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Steffen Hoelldobler, TU Dresden, Germany
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Kristian Kersting, TU Darmstadt, Germany
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Luis Lamb, Universidade Federal do Rio Grande do Sul, Brazil
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Edjard Mota, Federal University of Amazonas, Brazil
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Steven Schockaert, Cardiff University, UK
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Luciano Serafini, Fondazione Bruno Kessler, Italy
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Daniel L. Silver, Acadia University, Canada
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Michael Spranger, SONY CSL, Japan
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Frank van der Velde, University of Twente, The Netherlands
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Frank van Harmelen, VU Amsterdam, The Netherlands
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Michael Witbrock, IBM Research AI, USA
Organizing committee
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Tarek R. Besold (City, University of London, UK)
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Artur d'Avila Garcez (City, University of London, UK)
Call for paper
Important date
Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere:
Authors of contributed papers are encouraged to use the LaTex article style, a 12pt font, and to submit a paper with no more than 12 pages plus references.
Submission Topics
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.
All Comments
Important Date
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Conference Date
Aug 23
2018
toAug 24
2018
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Aug 01 2018
Draft paper submission deadline
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Aug 24 2018
Registration deadline
Contact Information
- Tarek R. Besold
- ta******@city.ac.uk
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