<p>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. Th
Intelligent Systems and Soft Computing: Prospects, Tools and Applications
β Scribed by Lotfi A. Zadeh (auth.), Benham Azvine, Detlef D. Nauck, Nader Azarmi (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2000
- Tongue
- English
- Leaves
- 369
- Series
- Lecture Notes in Computer Science 1804 : Lecture Notes in Artificial Intelligence
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ 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.
β¦ Table of Contents
Front Matter....Pages -
Front Matter....Pages 1-1
From Computing with Numbers to Computing with WordsβFrom Manipulation of Measurements to Manipulation of Perceptions....Pages 3-40
Bringing AI and Soft Computing Together: A Neurobiological Perspective....Pages 41-71
Future Directions for Soft Computing....Pages 72-94
Problems and Prospects in Fuzzy Data Analysis....Pages 95-109
Soft Agent Computing: Towards Enhancing Agent Technology with Soft Computing....Pages 110-135
Front Matter....Pages 137-137
NEFCLASS-J β A JAVA-Based Soft Computing Tool....Pages 139-160
Soft Computing for Intelligent Knowledge-Based Systems....Pages 161-187
Advanced Fuzzy Clustering and Decision Tree Plug-Ins for DataEngine TM ....Pages 188-212
Front Matter....Pages 213-213
The Intelligent Assistant: An Overview....Pages 215-238
The YPA β An Assistant for Classified Directory Enquiries....Pages 239-258
Intelligent Multimodal User Interface....Pages 259-283
Communication Management: E-Mail and Telephone Assistants....Pages 284-300
Time Management in the Intelligent Assistant....Pages 301-320
Machine Interpretation of Facial Expressions....Pages 321-342
Modelling Preferred Work Plans....Pages 343-357
Back Matter....Pages -
β¦ Subjects
Artificial Intelligence (incl. Robotics); Software Engineering; Computer Communication Networks; Information Systems Applications (incl.Internet); User Interfaces and Human Computer Interaction
π SIMILAR VOLUMES
<p>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. Th
<span>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.
Β Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks
<span>Soft computing techniques open significant opportunities in several areas, such as industry, medicine, energy, security, transportation, and education. This book provides theory and applications development using soft computing techniques by organizing intelligent systems for many applications