Abstract
Knowledge acquisition is not a single, monolithic problem for AI. There are many ways to approach the topic in order to understand issues and design useful tools for constructing knowledge-based systems. Several of those approaches are being explored in the Knowledge Systems Laboratory (KSL) at Stanford.
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© 1986 Kluwer Academic Publishers
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Buchanan, B.G. (1986). Some Approaches to Knowledge Acquisition. In: Machine Learning. The Kluwer International Series in Engineering and Computer Science, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2279-5_5
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DOI: https://doi.org/10.1007/978-1-4613-2279-5_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-9406-1
Online ISBN: 978-1-4613-2279-5
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