Neural Networks and Structured Knowledge: Knowledge Representation and Reasoning

This collection of articles is the first of two parts of a special issue on "Neural Networks and Structured Knowledge." The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models fo...

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Bibliographic Details
Published inApplied intelligence (Dordrecht, Netherlands) Vol. 11; no. 1; pp. 5 - 13
Main Author Kurfess, Franz J
Format Journal Article
LanguageEnglish
Published Boston Springer Nature B.V 01.07.1999
Subjects
Artificial intelligence
Collection
Extraction
Graphs
Intelligence
Knowledge representation
Neural networks
Reasoning
Studies
Tasks
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Summary:This collection of articles is the first of two parts of a special issue on "Neural Networks and Structured Knowledge." The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models for mapping discrete structures like graphs or logical formulae onto different types of neural networks, to the construction of practical systems for various types of reasoning. In the second part to follow, the emphasis will be on the extraction of knowledge from neural networks, and on applications of neural networks and structured knowledge to practical tasks.[PUBLICATION ABSTRACT]
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ISSN:0924-669X
1573-7497
DOI:10.1023/A:1008327412259