Seventh International Workshop on Neural-Symbolic Learning and Reasoning, Barcelona, Spain
16 July 2011 - 16 July 2011
Spain
The Seventh International Workshop on Neural-Symbolic Learning and Reasoning will take place in Barcelona, Spain on 16 to 18 July 2011.
The workshop aims to encourage the exchange of ideas and provide a forum for the presentation and discussion of key topics related to neural-symbolic integration.
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. Neural-symbolic systems combine the statistical nature of learning and the logical nature of reasoning.
Topics set to be covered at the conference include:
- the representation of symbolic knowledge by connectionist systems;
- learning in neural-symbolic systems;
- extraction of symbolic knowledge from trained neural networks;
- reasoning in neural-symbolic systems;
- biological inspiration for neural-symbolic integration;
- integration of logic and probabilities in neural networks;
- structured learning and relational learning in neural networks;
- applications in robotics, simulation and fraud prevention
For further information, please visit: http://knoesis.wright.edu/faculty/pascal/nesy/NeSy11/(opens in new window)
The workshop aims to encourage the exchange of ideas and provide a forum for the presentation and discussion of key topics related to neural-symbolic integration.
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. Neural-symbolic systems combine the statistical nature of learning and the logical nature of reasoning.
Topics set to be covered at the conference include:
- the representation of symbolic knowledge by connectionist systems;
- learning in neural-symbolic systems;
- extraction of symbolic knowledge from trained neural networks;
- reasoning in neural-symbolic systems;
- biological inspiration for neural-symbolic integration;
- integration of logic and probabilities in neural networks;
- structured learning and relational learning in neural networks;
- applications in robotics, simulation and fraud prevention
For further information, please visit: http://knoesis.wright.edu/faculty/pascal/nesy/NeSy11/(opens in new window)