Neural-Symbolic Integration

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 become a member, please visit https://www.city-data-science-institute.com/nesy.

With best regards,
The NeSy Steering Committee

• NeSy'20, Fifteenth International Workshop on Neural-Symbolic Learning and Reasoning at IJCLR-20
• NeSy'19, Fourteenth International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI-19
• NeSy'18, Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning at HLAI-18
• 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

• Dagstuhl Seminar on Human-Like Neural-Symbolic Computing, May 2017.
• Dagstuhl Seminar on Neural-Symbolic Learning and Reasoning, September 2014.
• Dagstuhl Seminar on Learning paradigms in dynamic environments, July 2010.
• Dagstuhl Seminar on Perspectives of Recurrent Neural Networks - Models, Capacities, and Applications, January 2008.

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.

Overview Articles

• 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

• Neural-Symbolic Learning, Part I. Recording of lecture by A. Garcez at the ACAI 2018 Summer School, Ferrara, Italy, Aug 2018.
• Neural-Symbolic Learning, Part II. Recording of lecture by A. Garcez at the ACAI 2018 Summer School, Ferrara, Italy, Aug 2018.
• Neural-Symbolic Learning and Reasoning with Constraints. A tutorial on Logic Tensor Networks at IJCAI-ECAI 2018, Stockholm, Sweden, July 15, 2018.
• Neural-Symbolic Learning and Reasoning with Constraints. A tutorial on Logic Tensor Networks at IEEE IJCNN 2018, Rio de Janeiro, Brazil, July 8, 2018.
• Integrating Logic Programs and Connectionist Systems at ESSLLI2008 Summer School
• Knowledge Technologies, Hybrid Approaches and Neural Networks at ICANN 2006 Conference
• Neural-symbolic learning and reasoning at IK2006 Summer School
• Connectionist Knowledge Representation and Reasoning at KI 2005 Conference
• Integrating Logic Programs and Connectionist Systems at ESSLLI2005 Summer School

Books

• 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.

Community

• We have a low-traffic mailing list for announcements and discussions related to neural-symbolic integration. Please visit https://www.jiscmail.ac.uk/cgi-bin/wa.exe?A0=NESY to add yourself to this list.