An Introduction to Knowledge Engineering

Simon Kendal, Malcolm Creen

300 pages, parution le 15/01/2007

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Résumé

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.

Written for: Undergraduate/postgraduate students in computing science and related disciplines i.e. Knowledge Engineering, Artificial Intelligence, Intelligent Systems, Robotics and Cybernetics

Sommaire

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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Simon Kendal, Malcolm Creen
Parution	15/01/2007
Nb. de pages	300
Format	15,5 x 23
Couverture	Broché
Poids	425g
Intérieur	Noir et Blanc
EAN13	9781846284755
ISBN13	978-1-84628-475-5