Simon Kendal, Malcolm Creen's An Introduction to Knowledge Engineering PDF

By Simon Kendal, Malcolm Creen

ISBN-10: 1846284759

ISBN-13: 9781846284755

The authors use a clean and novel 'workbook' writing kind which supplies the publication a truly functional and straightforward to take advantage of consider. It comprises methodologies for the improvement of hybrid info platforms, covers neural networks, case established reasoning and genetic algorithms in addition to specialist structures. a variety of tips that could internet dependent assets and present learn also are integrated. The content material of the publication has been effectively utilized by undergraduates worldwide. it truly is geared toward undergraduates and a powerful maths history isn't required.

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Extra resources for An Introduction to Knowledge Engineering

Example text

1992). The measurement of information. In Vakkari, P. and Cronin, B. (editors), Conceptions of Library and Information Science. Taylor Graham: London, pp. 97–108. Laudon, K. C. and Laudon, J. P. (1998). Management Information Systems: New Approaches to Organisation and Technology, 5th ed. Prentice-Hall: Englewood Cliffs, NJ, p. 8. An Introduction to Knowledge Engineering 25 Long, L. and Long, N. (1998). Computers, 5th ed. Prentice-Hall: Englewood Cliffs, NJ, p. 5. McNurlin, B. and Sprague, R. , Jr.

3. 4. 5. 6. Expert systems Neural networks (NNs) Case-based reasoning (CBR) Genetic algorithms Intelligent agents Data mining. Objectives By the end of the chapter you will be able to: r describe the characteristics of a knowledge-based system r explain the main elements of knowledge-based systems and how they work r evaluate the advantages and limitations of knowledge-based systems r identify appropriate contexts for the use of particular types of knowledge-based systems. 26 Types of Knowledge-Based Systems 27 SECTION 1: EXPERT SYSTEMS Introduction This section provides you with an introduction to expert systems and their use within knowledge engineering.

Humans are also very good at processing sensory information. While neural networks can also handle sensory data, expert systems are generally limited to symbolic information. Summary There are a variety of KBSs, each designed to attempt to emulate different aspects of human intelligence, knowledge and behavioural skills. Self-Assessment Question For each of the four entities listed below, identify the different behavioural skills or knowledge they display that contribute or provide evidence of their ‘intelligence’.

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An Introduction to Knowledge Engineering by Simon Kendal, Malcolm Creen

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