DARN: Toward a community memory for diagnosis and repair tasks
Expert systems: the user interface
Goals for expert systems research: an analysis of tasks and domains
Proceedings of Expert Systems '87 on Research and Development in Expert Systems IV
AI Magazine
A philosophical basis for knowledge acquisition
Knowledge Acquisition
Knowledge acquisition by methods of formal concept analysis
Proceedings of the conference on Data analysis, learning symbolic and numeric knowledge
Artificial Intelligence
Knowledge Acquisition - Special issue on knowledge acquisition for therapy-planning tasks
Generic tasks and task structures: history, critique and new directions
Second generation expert systems
Advances in knowledge discovery and data mining
The conceptual nature of knowledge, situations, and activity
Expertise in context
Rat-tale: sociology's contribution to understanding human and machine cognition
Expertise in context
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Decision Support and Expert Systems: Management Support Systems
Decision Support and Expert Systems: Management Support Systems
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Personal Construct Psychology Foundations for Knowledge Acquisition and Representation
Proceedings of the 7th European Workshop on Knowledge Acquisition for Knowledge-Based Systems
Uncovering the Conceptual Models in Ripple Down Rules
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Local Patching Produces Compact Knowledge Bases
EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition
Model-Based Visualization of Temporal Abstractions
TIME '98 Proceedings of the Fifth International Workshop on Temporal Representation and Reasoning
Grasp recognition for uncalibrated data gloves: A machine learning approach
Presence: Teleoperators and Virtual Environments
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Knowledge is becoming increasingly recognized as a valuable resource. Given its importance it is surprising that expert systems technology has not become a more common means of utilizing knowledge. In this chapter we review some of the history of expert systems, the shortcomings of first generation expert systems, current approaches and future decisions. In particular we consider a knowledge acquisition and representation technique known as Ripple Down Rules (RDR) that avoids many of the limitations of earlier systems by providing a simple, user-driven knowledge acquisition approach based on the combined use of rules and cases and which support online validation and easy maintenance. RDR has found particular commercial success as a clinical decision support system and we review what features of RDR make it so suited to this domain.