Intelligent Systems and Soft Computing: Prospects, Tools and Applications (Lecture Notes in Computer Science, 1804)

✍ Scribed by Behnam Azvine (editor), Nader Azarmi (editor), Detlef D. Nauck (editor)

• Publisher: Springer
• Year: 2000
• Tongue: English
• Leaves: 372
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Frontmatter
Section 1 - Prospects
From Computing with Numbers to Computing with Words---From Manipulation of Measurements to Manipulation of Perceptions
Bringing AI and Soft Computing Together: A Neurobiological Perspective
Future Directions for Soft Computing
Problems and Prospects in Fuzzy Data Analysis
Soft Agent Computing: Towards Enhancing Agent Technology with Soft Computing
Section 2 - Tools
NEFCLASS-J -- A JAVA-Based Soft Computing Tool
Soft Computing for Intelligent Knowledge-Based Systems
Advanced Fuzzy Clustering and Decision Tree Plug-Ins for DataEngineTM
Section 3 - Applications
The Intelligent Assistant: An Overview
The YPA -- An Assistant for~Classified~Directory~Enquiries
Intelligent Multimodal User Interface
Communication Management: E-Mail and Telephone Assistants
Time Management in the Intelligent Assistant
Machine Interpretation of Facial Expressions
Modelling Preferred Work Plans
Backmatter