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An Introduction to Knowledge Engineering (Paperback, 2007 ed.)
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An Introduction to Knowledge Engineering (Paperback, 2007 ed.)
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An Introduction to Knowledge Engineering presents a simple but
detailed exp- ration of current and established work in the ?eld of
knowledge-based systems and related technologies. Its treatment of
the increasing variety of such systems is designed to provide the
reader with a substantial grounding in such techno- gies as expert
systems, neural networks, genetic algorithms, case-based reasoning
systems, data mining, intelligent agents and the associated
techniques and meth- ologies. The material is reinforced by the
inclusion of numerous activities that provide opportunities for the
reader to engage in their own research and re?ection as they
progress through the book. In addition, self-assessment questions
allow the student to check their own understanding of the concepts
covered. The book will be suitable for both undergraduate and
postgraduate students in computing science and related disciplines
such as knowledge engineering, arti?cial intelligence, intelligent
systems, cognitive neuroscience, robotics and cybernetics. vii
Contents Foreword vii 1 An Introduction to Knowledge Engineering. .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section
1: Data, Information and Knowledge . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge
Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . 10 Section 3: An Introduction to Knowledge-Based
Systems. . . . . . . . . . . . . . . . . 18 2 Types of
Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural
Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3:
Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic
Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . 66 Section 5:
Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section
6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . 89 4 Knowledge Representation and Reasoning . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using
Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2:
Logic, Rules and Representation . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 116 Section 3: Developing
Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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