DagRep.4.9.50.pdf
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Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 4, Issue 9
Volume: Dagstuhl Reports, Volume 4
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2015-01-27
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Artur d'Avila Garcez, Marco Gori, Pascal Hitzler, and Luís C. Lamb. Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381). In Dagstuhl Reports, Volume 4, Issue 9, pp. 50-84, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
https://doi.org/10.4230/DagRep.4.9.50
Abstract
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.
Subject Classification
Keywords
- Neural-symbolic computation
- deep learning
- image understanding
- lifelong machine learning
- natural language understanding
- ontology learning
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