Intelligent Systems and Soft Computing -

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Résumé :
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.

Sommaire:
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.