Workshop description
W11: 9th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy’13)
Organizers: Artur d'Avila Garcez, Luis C. Lamb and Pascal Hitzler
Short description:
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 computation 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:
The representation of symbolic knowledge by numerical, connectionist systems;
Integrated neural-symbolic learning approaches;
Extraction of symbolic knowledge from trained neural networks;
Integrated neural-symbolic reasoning approaches;
Biologically-inspired neural-symbolic integration;
Integration of logic and probabilities in deep network models;
Structured learning and relational learning in neural networks;
Applications in robotics, simulation, fraud prevention, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc.
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