Neural-Symbolic Cognitive Reasoning

• Main Authors: d’Avila Garcez, Artur S. (Author), Lamb, Luís C. (Author), Gabbay, Dov M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Cognitive Technologies,
• Subjects: Computer science.; Logic.; Computers.; Mathematical logic.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computation by Abstract Devices.; Theory of Computation.; Mathematical Logic and Formal Languages.; Pattern Recognition.

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...

Table of Contents:

• 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.