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.