Artificial Intelligence
Artificial intelligence: a handbook of professionalism
Artificial intelligence: a handbook of professionalism
Explanation and interaction: the computer generation of explanatory dialogues
Explanation and interaction: the computer generation of explanatory dialogues
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Introduction to Expert Systems
Introduction to Expert Systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Critiquing Human Error: A Knowledge Based Human-Computer Collaboration Approach
Critiquing Human Error: A Knowledge Based Human-Computer Collaboration Approach
Control Theory: A Guided Tour
Modeling for Learning Organizations
Modeling for Learning Organizations
Remote Instrument Diagnosis on the Internet
IEEE Intelligent Systems
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
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The monitoring and control of devices and systems has attracted attention from the field of knowledge-based systems for a number of reasons. The problem is intrinsically knowledge-intensive, benefiting from awareness of the behaviour and interactions of components. There are complexities such as time constraints, partial and qualitative information, and in many cases there is a need for a degree of human understandability in performance. In this paper the problems of control are characterised, and a selection of applicable knowledge-based techniques described. Some architectural issues for control system design are also discussed. Two case studies are described which illustrate the variety of problems and approaches: one for control of flooding in a city, the other for control of an anaerobic waste treatment plant.