License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08041.5
URN: urn:nbn:de:0030-drops-14233
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1423/
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Lamb, Luis C.

The Grand Challenges and Myths of Neural-Symbolic Computation

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08041.LambLuis.Paper.1423.pdf (0.2 MB)

Abstract

The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The combination of logic-based inference and connectionist learning systems may lead to the construction of semantically sound computational cognitive models in artificial intelligence, computer and cognitive sciences. Over the last decades, results regarding the computation and learning of classical reasoning within neural networks have been promising. Nonetheless, there still remains much do be done. Artificial intelligence, cognitive and computer science are strongly based on several non-classical reasoning formalisms, methodologies and logics. In knowledge representation, distributed systems, hardware design, theorem proving, systems specification and verification classical and non-classical logics have had a great impact on theory and real-world applications. Several challenges for neural-symbolic computation are pointed out, in particular for classical and non-classical computation in connectionist systems. We also analyse myths about neural-symbolic computation and shed new light on them considering recent research advances.

BibTeX - Entry

@InProceedings{lamb:DagSemProc.08041.5,
  author =	{Lamb, Luis C.},
  title =	{{The Grand Challenges  and Myths of Neural-Symbolic Computation}},
  booktitle =	{Recurrent Neural Networks- Models, Capacities, and Applications},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8041},
  editor =	{Luc De Raedt and Barbara Hammer and Pascal Hitzler and Wolfgang Maass},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1423},
  URN =		{urn:nbn:de:0030-drops-14233},
  doi =		{10.4230/DagSemProc.08041.5},
  annote =	{Keywords: Connectionist non-classical logics, neural-symbolic computation, non-classical reasoning, computational cognitive models}
}

Keywords: Connectionist non-classical logics, neural-symbolic computation, non-classical reasoning, computational cognitive models
Collection: 08041 - Recurrent Neural Networks- Models, Capacities, and Applications
Issue Date: 2008
Date of publication: 15.04.2008

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