2 Search Results for "d'Avila Garcez, Artur S."


Document
Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)

Authors: Artur d'Avila Garcez, Marco Gori, Pascal Hitzler, and Luís C. Lamb

Published in: Dagstuhl Reports, Volume 4, Issue 9 (2015)


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.

Cite as

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)


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@Article{davilagarcez_et_al:DagRep.4.9.50,
  author =	{d'Avila Garcez, Artur and Gori, Marco and Hitzler, Pascal and Lamb, Lu{\'\i}s C.},
  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 =	{d'Avila Garcez, Artur and Gori, Marco and Hitzler, Pascal and Lamb, Lu{\'\i}s C.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.4.9.50},
  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}
}
Document
Neurons and Symbols: A Manifesto

Authors: Artur S. d'Avila Garcez

Published in: Dagstuhl Seminar Proceedings, Volume 10302, Learning paradigms in dynamic environments (2010)


Abstract
We discuss the purpose of neural-symbolic integration including its principles, mechanisms and applications. We outline a cognitive computational model for neural-symbolic integration, position the model in the broader context of multi-agent systems, machine learning and automated reasoning, and list some of the challenges for the area of neural-symbolic computation to achieve the promise of effective integration of robust learning and expressive reasoning under uncertainty.

Cite as

Artur S. d'Avila Garcez. Neurons and Symbols: A Manifesto. In Learning paradigms in dynamic environments. Dagstuhl Seminar Proceedings, Volume 10302, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)


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@InProceedings{davilagarcez:DagSemProc.10302.3,
  author =	{d'Avila Garcez, Artur S.},
  title =	{{Neurons and Symbols: A Manifesto}},
  booktitle =	{Learning paradigms in dynamic environments},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10302},
  editor =	{Barbara Hammer and Pascal Hitzler and Wolfgang Maass and Marc Toussaint},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10302.3},
  URN =		{urn:nbn:de:0030-drops-28005},
  doi =		{10.4230/DagSemProc.10302.3},
  annote =	{Keywords: Neuro-symbolic systems, cognitive models, machine learning}
}
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