W11: 9th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy’13)
Organizers: Artur d'Avila Garcez, Luis C. Lamb and Pascal Hitzler
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.