Neural networks for knowledge representation and inference /
| Other Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hillsdale, N.J. :
Lawrence Erlbaum Associates, Publishers,
c1994.
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| Subjects: |
Table of Contents:
- 1. Why are Neural Networks Relevant to Higher Cognitive Function? /Manuel Aparicio IV and Daniel S. Levine
- 2. On Using Analogy toReconcile Connections and Symbols / John A. Barnden
- 3. Semiotics,Meaning, and Discursive Neural Networks / Samuel J. Leven
- 4.Continuous Symbol Systems: The Logic of Connectionism / Bruce MacLennan
- 5. Representing Discrete Structures in a Hopfield-Style Network /Arun Jagota
- 6. Modeling and Stability Analysis of a TruthMaintenance System Neural Network / William Pratt Mounfield, Jr.,Ljubomir Grujic and Suresh Guddanti
- 7. Propositional Logic,Nonmonotonic Reasoning, and Symmetric Networks - On Bridging the GapBetween Symbolic and Connectionist Knowledge Representation / GadiPinkas
- 8. The Representation of Knowledge and Rules in HierarchicalNeural Networks / Thomas Jackson and James Austin
- 9. ConnectionistModels of Commonsense Reasoning / Ron Sun.