Neural-Symbolic Cognitive Reasoning

Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? The authors address this questio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: D'Avila Garcez, Artur S. (Autor), Lamb, Luís C. (Autor), Gabbay, Dov M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Cognitive Technologies,
Temas:
Artificial intelligence.
Computer science.
Logic.
Machine theory.
Pattern recognition systems.
Artificial Intelligence.
Theory of Computation.
Formal Languages and Automata Theory.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Logic and Knowledge Representation
  • Artificial Neural Networks
  • Neural-Symbolic Learning Systems
  • Connectionist Modal Logic
  • Connectionist Temporal Reasoning
  • Connectionist Intuitionistic Reasoning
  • Applications of Connectionist Nonclassical Reasoning
  • Fibring Neural Networks
  • Relational Learning in Neural Networks
  • Argumentation Frameworks as Neural Networks
  • Reasoning about Probabilities in Neural Networks
  • Conclusions.

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