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URN: urn:nbn:de:0030-drops-28005

Neurons and Symbols: A Manifesto



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.

BibTeX - Entry

  author =	{Artur S. d'Avila Garcez},
  title =	{Neurons and Symbols: A Manifesto},
  booktitle =	{Learning paradigms in dynamic environments},
  year =	{2010},
  editor =	{Barbara Hammer and Pascal Hitzler and Wolfgang Maass and Marc Toussaint},
  number =	{10302},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{},
  annote =	{Keywords: Neuro-symbolic systems, cognitive models, machine learning}

Keywords: Neuro-symbolic systems, cognitive models, machine learning
Seminar: 10302 - Learning paradigms in dynamic environments
Issue date: 2010
Date of publication: 05.11.2010

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