d'Avila Garcez, Artur S.
Neurons and Symbols: A Manifesto
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.
BibTeX - Entry
@InProceedings{davilagarcez:DSP:2010:2800,
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 = {http://drops.dagstuhl.de/opus/volltexte/2010/2800},
annote = {Keywords: Neuro-symbolic systems, cognitive models, machine learning}
}
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Keywords: |
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Neuro-symbolic systems, cognitive models, machine learning |
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Seminar: |
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10302 - Learning paradigms in dynamic environments
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Issue date: |
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2010 |
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Date of publication: |
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05.11.2010 |