This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work.
An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems.
@introbul:Key Features @bul:* Expert systems techniques and applications are presented for a diverse array of topics including:
- Experimental design and decision support
- The integration of machine learning with knowledge acquisition for the design of expert systems
- Process planning in design and manufacturing systems and process control applications
- Knowledge discovery in large-scale knowledge bases
- Robotic systems
- Geograhphic information systems
- Image analysis, recognition and interpretation
- Cellular automata methods for pattern recognition
- Real-time fault tolerant control systems
- CAD-based vision systems in pattern matching processes
- Financial systems
- Agricultural applications
- Medical diagnosis
Students, researchers, and practitioners in computer science and engineering, as well as in the various applications areas such as economics, medicine, manufacturing, and agriculture.
VOLUME 1 History and Applications Tools and Applications Development and Applications of Decision Trees Reasoning with Imperfect Information Experimental Design and Decision Support A Model-Based Expert System Based on a Domain Ontology Intelligent System Control: A Unified Approach and Applications Real Time Fault-Tolerant Control Systems
VOLUME 2: Model of Reasoning with Conflicting Information Sources in Knowledge-Based Systems Process Planning in Design and Manufacturing Systems Intelligent Systems Techniques and Their Applications in Manufacturing Systems Architecture, Engineering and Construction (AEC) Design Neural Networks for Process Control Application to the Temperature Control of Batch Chemical Reactors Intelligent Tools and Their Applications in Geographic Information Systems Microprocessor Systems Scheduling Systems for Shipbuilding
VOLUME 3 Genetic Image Interpretation Automated Visual Assembly Inspection Multiresolution Invariant Image Recognition Image Processing for Automatic Roads Determination Automated Visual Inspection Systems Visual Programming Technology in Expert Systems Development CAD-Based Vision Systems in Pattern Matching Process Cellular Automata Architectures for Pattern Recognition Machine Intelligent Systems Techniques for Automatic Harvest System Integrating Machine Learning with Knowledge Acquisition Modeling Human Reasoning Processes Under Uncertain Conditions
VOLUME 4 Devising an Expert System for Pediatric Syndrome Diagnosis Knowledge Discovery in Larger Scale Knowledge Databases Efficient Data Utilization Investment Decision Making Intelligent Systems Control in Manufacturing Cells Knowledge-Based Approach for Automating Web Publishing from Databases Neural Networks for Economic Forecasting Problems Determination of Principal Components in Data Time Series Prediction
VOLUME 5 Hybrid Expert Systems: An Approach to Combining Neural Computation and Rule-Based Reasoning POPFNNS: Fuzzy Neural Techniques for Rule-Based Identification in Expert Systems Preventive Quality Management Neuro-Fuzzy Systems Knowledge Representation by Means of Multi-Layer Perceptrons A Guide to Research in Assumption-Based Truth Maintenance Systems (ATMS) in Constraint Satisfaction A Method for Utilization of Previous Experience in Designing Expert Systems Model-Based Process Fault Diagnosis
VOLUME 6 Automation of Concept Development A Methodology for Building Case-Based Reasoning Systems in Ill-Structured Optimization Domains The Trainor System: Applying QR Techniques to Intelligent Tutoring Systems Structuring Expert Control Using the Integrated Process Supervision Architecture TAP: An Inquiry Teaching Shell Using both Rule-Based and State-Space Approaches Self Teaching and Exploratory Task-Learning Methods in Unkown Environments and Applications in Robotic Skills
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- © Academic Press 2002
- 30th August 2001
- Academic Press
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Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.
University of California, Los Angeles, U.S.A.
@from:From the Preface @qu:"This set consists of six, well-integrated volumes on the broad subject of expert systems techniques and applications....All of the contributors to this work are to be highly commended for their splendid contributions that will provide a significant and unique reference for students, research workers, practitioners, computer scientists, and others on the international scene for years to come." @source:--Cornelius T. Leondes