
Knowledge Engineering
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Reviews / Votes
'At the pole opposite to statistical machine learning lies disciplined knowledge engineering. This book gives a new and comprehensive journey on the approach to AI as symbol manipulation, putting most of the relevant pieces of knowledge engineering together in a refreshingly interesting and novel way.' Edward Feigenbaum, Stanford University, California 'This well-written book is a much-needed update on the process of building expert systems. Gheorghe Tecuci and colleagues have developed the Disciple framework over many years and are using it here as a pedagogical tool for knowledge engineering. Hands-on exercises provide practical instruction to complement the explanations of principles, both of which make this a useful book for the classroom or self-study.' Bruce G. Buchanan, Emeritus Professor of Computer Science, University of PittsburghMore details
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File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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