License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.4.9.50
URN: urn:nbn:de:0030-drops-48843
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/4884/
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d'Avila Garcez, Artur ; Gori, Marco ; Hitzler, Pascal ; Lamb, Luís C.
Weitere Beteiligte (Hrsg. etc.): Artur d'Avila Garcez and Marco Gori and Pascal Hitzler and Luís C. Lamb

Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)

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dagrep_v004_i009_p050_s14381.pdf (2 MB)

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.

BibTeX - Entry

@Article{davilagarcez_et_al:DR:2015:4884,
  author =	{Artur d'Avila Garcez and Marco Gori and Pascal Hitzler and Lu{\'i}s C. Lamb},
  title =	{{Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)}},
  pages =	{50--84},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{4},
  number =	{9},
  editor =	{Artur d'Avila Garcez and Marco Gori and Pascal Hitzler and Lu{\'i}s C. Lamb},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/4884},
  URN =		{urn:nbn:de:0030-drops-48843},
  doi =		{10.4230/DagRep.4.9.50},
  annote =	{Keywords: Neural-symbolic computation, deep learning, image understanding, lifelong machine learning, natural language understanding, ontology learning}
}

Keywords: Neural-symbolic computation, deep learning, image understanding, lifelong machine learning, natural language understanding, ontology learning
Collection: Dagstuhl Reports, Volume 4, Issue 9
Issue Date: 2015
Date of publication: 27.01.2015

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