An Introduction to Knowledge Engineering / Edition 1

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Overview

The authors use a refreshing and novel ‘workbook’ writing style which gives the book a very practical and easy to use feel. It includes methodologies for the development of hybrid information systems, covers neural networks, case based reasoning and genetic algorithms as well as expert systems. Numerous pointers to web based resources and current research are also included. The content of the book has been successfully used by undergraduates around the world. It is aimed at undergraduates and a strong maths background is not required.

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Editorial Reviews

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"The book is written in a modern style, which should encourage undergraduate students to read it. … Overall, the book covers all classical topics of knowledge-based systems: knowledge acquisition, representation, expert system shells, and life cycles. It could make a good textbook for undergraduate courses … and the students research the uniform resource locator (URL) links provided." (Aladdin Ayesh, ACM Computing Reviews, Vol. 49 (4), April, 2008)

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Product Details

  • ISBN-13: 9781846284755
  • Publisher: Springer London
  • Publication date: 10/19/2006
  • Edition description: 2007
  • Edition number: 1
  • Pages: 290
  • Product dimensions: 0.63 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

An Introduction to Knowledge Engineering.- Types of Knowledge-Based Systems.- Knowledge Acquisition.- Knowledge Representation and Reasoning.- Expert System Shells, Environments and Languages.- Life Cycles and Methodologies.- Uncertain Reasoning.- Hybrid Knowledge-Based Systems.

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