Expert Systems

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.
- 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

VOLUME 1History and ApplicationsTools and ApplicationsDevelopment and Applications of Decision TreesReasoning with Imperfect InformationExperimental Design and Decision SupportA Model-Based Expert System Based on a Domain OntologyIntelligent System Control: A Unified Approach and ApplicationsReal Time Fault-Tolerant Control SystemsVOLUME 2:Model of Reasoning with Conflicting Information Sources in Knowledge-Based SystemsProcess Planning in Design and Manufacturing SystemsIntelligent Systems Techniques and Their Applications in Manufacturing SystemsArchitecture, Engineering and Construction (AEC) DesignNeural Networks for Process Control Application to the Temperature Control of Batch Chemical ReactorsIntelligent Tools and Their Applications in Geographic Information SystemsMicroprocessor SystemsScheduling Systems for ShipbuildingVOLUME 3Genetic Image InterpretationAutomated Visual Assembly InspectionMultiresolution Invariant Image RecognitionImage Processing for Automatic Roads DeterminationAutomated Visual Inspection SystemsVisual Programming Technology in Expert Systems DevelopmentCAD-Based Vision Systems in Pattern Matching ProcessCellular Automata Architectures for Pattern RecognitionMachine Intelligent Systems Techniques for Automatic Harvest SystemIntegrating Machine Learning with Knowledge AcquisitionModeling Human Reasoning Processes Under Uncertain ConditionsVOLUME 4Devising an Expert System for Pediatric Syndrome DiagnosisKnowledge Discovery in Larger Scale Knowledge DatabasesEfficient Data UtilizationInvestment Decision MakingIntelligent Systems Control in Manufacturing CellsKnowledge-Based Approach for Automating Web Publishing from DatabasesNeural Networks for Economic Forecasting ProblemsDetermination of Principal Components in DataTime Series PredictionVOLUME 5Hybrid Expert Systems: An Approach to Combining Neural Computation and Rule-Based ReasoningPOPFNNS: Fuzzy Neural Techniques for Rule-Based Identification in Expert SystemsPreventive Quality ManagementNeuro-Fuzzy SystemsKnowledge Representation by Means of Multi-Layer PerceptronsA Guide to Research in Assumption-Based Truth Maintenance Systems (ATMS) in Constraint SatisfactionA Method for Utilization of Previous Experience in Designing Expert SystemsModel-Based Process Fault DiagnosisVOLUME 6Automation of Concept DevelopmentA Methodology for Building Case-Based Reasoning Systems in Ill-Structured Optimization DomainsThe Trainor System: Applying QR Techniques to Intelligent Tutoring SystemsStructuring Expert Control Using the Integrated Process Supervision ArchitectureTAP: An Inquiry Teaching Shell Using both Rule-Based and State-Space ApproachesSelf Teaching and Exploratory Task-Learning Methods in Unkown Environments and Applications in Robotic Skills