Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)
Artur d’Avila Garcez, Marco Gori, Pascal Hitzler, Luís C. Lamb · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2015
This report documents the program and the outcomes of Dagstuhl Seminar 14381 "Neural-Symbolic 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.