Abstract
Knowledge acquisition (KA) is a crucial stage in the development of an expert system. As a process, it involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving a particular problem and then transforming this knowledge into a suitable machine representation. KA is critical since the power and utility of the resulting expert system depend on the quality of the underlying representation of expert knowledge. The aim of this book is to provide the builders of expert systems with some practical advice on what KA involves and some of the methodologies and techniques that have been developed to aid its effectiveness.
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© 1987 Plenum Press, New York
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Kidd, A.L. (1987). Knowledge Acquisition. In: Kidd, A.L. (eds) Knowledge Acquisition for Expert Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1823-1_1
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DOI: https://doi.org/10.1007/978-1-4613-1823-1_1
Publisher Name: Springer, Boston, MA
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