Workshop series on Neural-Symbolic Learning and Reasoning
At Dagstuhl seminar 14381, Wadern, Germany, marking the tenth edition of the workshop on Neural-Symbolic Learning and Reasoning in September 2014, it was decided that Neural-Symbolic Learning and Reasoning should become an Association with a constitution, and a more formal membership and governance structure.
The object of the NeSy association is to promote research in neural-symbolic learning and reasoning, and communication and the exchange of best practice among associated research areas. As such, the NeSy association primarily conducts the annual workshop on Neural-Symbolic Learning and Reasoning (NeSy workshop), and promotes through the maintenance of the website http://www.neural-symbolic.org, its steering committee and the NeSy workshops, interactions with related associations such as IFCoLog, INNS, BCS, IEEE, ACM, AAAI, CogSci, BICA.
The Steering Committee (2014-2018) of the Neural-Symbolic Learning and Reasoning Association, which oversees the running of the workshop series with the same name is composed of:
- Artur d'Avila Garcez (President)
- Daniel Silver (Vice President)
- Pascal Hitzler
- Peter Földiák (Treasurer)
- Kai-Uwe Kühnberger
- Luis C. Lamb
- Luc de Raedt
We invite every researcher interested in the object of the NeSy association to become a member. Currently, membership is free. To apply for membership, please complete and submit the application form at http://staff.city.ac.uk/~aag/nesy.
The NeSy Steering Committee will make a decision about the outcome of your application usually within a few days from the submission of the application.
You are invited to join also the NeSy Google+ community at https://plus.google.com/u/0/communities/118350808562167749910 and the LinkedIn community at https://www.linkedin.com/groups?home=&gid=4006768.
With best regards,
NeSy Workshops and Seminars:
The NeSy Steering Committee
- NeSy'18, Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning
- NeSy'17, Twelveth International Workshop on Neural-Symbolic Learning and Reasoning
- NeSy'16, Eleventh International Workshop on Neural-Symbolic Learning and Reasoning at HLAI 2016
- NeSy'15, Tenth International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-15
- NeSy'13, Ninth International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-13
- NeSy'12, Eighth International Workshop on Neural-Symbolic Learning and Reasoning at AAAI-12
- NeSy'11, Seventh International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-11
- NeSy'10, Sixth International Workshop on Neural-Symbolic Learning and Reasoning at AAAI-10
- NeSy'09, Fifth International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-09
- NeSy'08, Fourth International Workshop on Neural-Symbolic Learning and Reasoning at ECAI-08
- NeSy'07, Third International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-07
- NeSy'06, Second International Workshop on Neural-Symbolic Learning and Reasoning at ECAI-06
- NeSy'05, First International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-05
SIG Explainable AI
Quite frequently demands for better explainable and/or interpretable and/or comprehensible Artificial Intelligence (AI) and Machine Learning (ML) systems are being put forward. The Special Interest Group on Explainable AI offers a forum for interaction and collaboration on topics relating to "explanation", "interpretability", and "comprehensibility" in the context of AI and ML, working towards a better understanding of what an explanation is when talking about intelligent systems, what it means to interpret or comprehend a system and its behaviour, and how human-machine interaction can take these dimensions into account.
Related Dagstuhl Seminars
Other Related Events
- CoCoSym2018, Cognitive Computation Symposium: Thinking Beyond Deep Learning" at City, University of London, on February 27, 2018
- CoCo2016, Workshop on Cognitive Computation: Integrating neural and symbolic approaches at NIPS2016.
- CoCo2015, Workshop on Cognitive Computation: Integrating neural and symbolic approaches at NIPS2015.
- Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha, Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. Technical Report, 2017. [pdf]
- Artur d'Avila Garcez, Tarek R. Besold, Luc de Raedt, Peter Földiak, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luis C. Lamb, Risto Miikkulainen, Daniel L. Silver, Neural-Symbolic Learning and Reasoning: Contributions and Challenges. In: Andrew McCallum, Evgeniy Gabrilovich, Ramanathan Guha, Kevin Murphy (eds.), Proceedings of the AAAI 2015 Spring Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches. Technical Rport SS-15-03, AAAI Press, Palo Alto, 2015. [pdf]
Pascal Hitzler, Kai-Uwe Kühnberger, Facets of Artificial General Intelligence. Künstliche Intelligenz 2/09, 58-59, 2009. [pdf]
- Sebastian Bader, Pascal Hitzler, Steffen Hölldobler, The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence. Information 9 (1), 2006. [pdf]
- Sebastian Bader, Pascal Hitzler, Dimensions of neural-symbolic integration - a structured survey. In: S. Artemov, H. Barringer, A. S. d'Avila Garcez, L. C. Lamb and J. Woods (eds). We Will Show Them: Essays in Honour of Dov Gabbay, Volume 1. International Federation for Computational Logic, College Publications, 2005, pp. 167-194. [pdf]
Tutorials and Courses at Summer Schools
- Artur S. d'Avila Garcez, Luis C. Lamb and Dov M. Gabbay. Neural-Symbolic Cognitive Reasoning. Cognitive Technologies. Springer, 2009, ISBN 978-3-540-73245-7, 2009.
- Barbara Hammer, Pascal Hitzler (Eds), Perspectives of Neural-Symbolic Integration. Studies in Computational Intelligence, Vol. 77. Springer, 2007, ISBN 978-3-540-73953-1.
- Artur S. d'Avila Garcez, Krysia Broda and Dov M. Gabbay. Neural-Symbolic Learning Systems: Foundations and Applications, Perspectives in Neural Computing, Springer-Verlag, ISBN 1-85233-512-2, 2002.
Journal Special Issues
- Marco Gori, Barbara Hammer, Pascal Hitzler, Günter Palm (eds.). Logic Journal of the IGPL, Volume 18(5), Special Issue on Challenges for Recurrent Neural Networks, October 2010.
A. S. d'Avila Garcez, D. M. Gabbay, S. Holldobler and J. G. Taylor (eds). Journal of Applied Logic, Volume 2(3), Special Volume on Neural-Symbolic Systems, Elsevier, September 2004.
Page maintained by Pascal Hitzler.