Report from Dagstuhl Seminar 14381 Neural-Symbolic Learning and Reasoning

This report documents the program and the outcomes of Dagstuhl Seminar 14381 “NeuralSymbolic Learning and Reasoning”, which was held from September 14th to 19th, 2014. This seminar brought together specialist in machine learning, knowledge representation and reasoning, computer vision and image understanding, natural language processing, and cognitive science. The aim of the seminar was to explore the interface among several fields that contribute to the effective integration of cognitive abilities such as learning, reasoning, vision and language understanding in intelligent and cognitive computational systems. The seminar consisted of contributed and invited talks, breakout and joint group discussion sessions. Seminar September 14–19, 2014 – http://www.dagstuhl.de/14381 1998 ACM Subject Classification I.2 Artificial Intelligence, I.2.4 Knowledge Representation Formalisms and Methods, I.2.6 Learning, I.2.10 Vision and Scene Understanding, I.2.11 Distributed Artificial Intelligence

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