Intelligent Systems and Soft Computing: Prospects, Tools and Applications

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Behnam Azvine, Nader Azarmi, Detlef D. Nauck
Springer Science & Business Media, Jul 26, 2000 - Computers - 358 pages
Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together.
This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.
 

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Contents

From Computing with Numbers to Computing with WordsFrom Manipulation of Measurements to Manipulation of Perceptions
3
A Neurobiological Perspective
41
Future Directions for Soft Computing
72
Problems and Prospects in Fuzzy Data Analysis
95
Towards Enhancing Agent Technology with Soft Computing
110
Section 2 Tools
136
NEFCLASSJ A JAVABased Soft Computing Tool
137
Soft Computing for Intelligent KnowledgeBased Systems
161
An Overview
215
The YPA An Assistant for Classified Directory Enquiries
239
Intelligent Multimodal User Interface
259
EMail and Telephone Assistants
284
Time Management in the Intelligent Assistant
301
Machine Interpretation of Facial Expressions
321
Modelling Preferred Work Plans
343
Author Index
358

Advanced Fuzzy Clustering and Decision Tree PlugIns for DataEngine
188
Section 3 Applications
213

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