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Books > Computing & IT > Applications of computing > Artificial intelligence
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Knowledge Acquisition: Selected Research and Commentary - A Special Issue of Machine Learning on Knowledge Acquisition (Paperback, Softcover reprint of the original 1st ed. 1990)
Loot Price: R2,617
Discovery Miles 26 170
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Knowledge Acquisition: Selected Research and Commentary - A Special Issue of Machine Learning on Knowledge Acquisition (Paperback, Softcover reprint of the original 1st ed. 1990)
Series: The Springer International Series in Engineering and Computer Science, 92
Expected to ship within 18 - 22 working days
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What follows is a sampler of work in knowledge acquisition. It
comprises three technical papers and six guest editorials. The
technical papers give an in-depth look at some of the important
issues and current approaches in knowledge acquisition. The
editorials were pro duced by authors who were basically invited to
sound off. I've tried to group and order the contributions somewhat
coherently. The following annotations emphasize the connections
among the separate pieces. Buchanan's editorial starts on the theme
of "Can machine learning offer anything to expert systems?" He
emphasizes the practical goals of knowledge acquisition and the
challenge of aiming for them. Lenat's editorial briefly describes
experience in the development of CYC that straddles both fields. He
outlines a two-phase development that relies on an engineering
approach early on and aims for a crossover to more automated
techniques as the size of the knowledge base increases. Bareiss,
Porter, and Murray give the first technical paper. It comes from a
laboratory of machine learning researchers who have taken an
interest in supporting the development of knowledge bases, with an
emphasis on how development changes with the growth of the
knowledge base. The paper describes two systems. The first, Protos,
adjusts the training it expects and the assistance it provides as
its knowledge grows. The second, KI, is a system that helps
integrate knowledge into an already very large knowledge base."
General
| Imprint: |
Springer-Verlag New York
|
| Country of origin: |
United States |
| Series: |
The Springer International Series in Engineering and Computer Science, 92 |
| Release date: |
September 2011 |
| First published: |
1990 |
| Editors: |
Sandra Marcus
|
| Dimensions: |
235 x 155 x 9mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
152 |
| Edition: |
Softcover reprint of the original 1st ed. 1990 |
| ISBN-13: |
978-1-4612-8821-3 |
| Categories: |
Books >
Computing & IT >
Applications of computing >
Artificial intelligence >
General
Promotions
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| LSN: |
1-4612-8821-5 |
| Barcode: |
9781461288213 |
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