Simon Kendal, Malcolm Creen

An Introduction to Knowledge Engineering (eBook, PDF)

• Format: PDF

Produktbeschreibung

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 math background is not required. It is beneficial for undergraduate/postgraduate students in computing science and related disciplines i.e. Knowledge Engineering, Artificial Intelligence, Intelligent Systems, Robotics and Cybernetics.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 290
• Erscheinungstermin: 8. August 2007
• Englisch
• ISBN-13: 9781846286674
• Artikelnr.: 44223469

Inhaltsangabe

An Introduction to Knowledge Engineering.- Data, Information and Knowledge.- Skills of a Knowledge Engineer.- An Introduction to Knowledge Based Systems.- Types of Knowledge Based System-Expert Systems.- Neural Networks.- Case Based Reasoning.-Genetic Algorithms.- Intelligent Agents.- Data Mining-Knowledge Acquisition.- Knowledge Representation and Reasoning.- Using Knowledge.- Logic, Rules and Representation.- Developing Rule Based Systems.- Semantic Networks.- Frames.- Expert System Shells, Environments and Languages 169.- Expert System Shells.- Expert System Development Environments.- Use of AI Languages.- Lifecycles and Methodologies.- The Need for Methodologies.- Blackboard Architectures.- Problem Solving Methods.- KADS-HyM (the Hybrid Methodology).- Building a well Structured Application Using Aion BRE.- Uncertain Reasoning.- Hybrid Knowledge.- Based Systems.- Index.

Rezensionen

From the reviews:

"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)