AI Magazine
Learning nested differences of intersection-closed concept classes
COLT '89 Proceedings of the second annual workshop on Computational learning theory
A philosophical basis for knowledge acquisition
Knowledge Acquisition
Machine intelligence 12
Learning rules with local exceptions
Euro-COLT '93 Proceedings of the first European conference on Computational learning theory
Induction of ripple-down rules applied to modeling large databases
Journal of Intelligent Information Systems
The conceptual nature of knowledge, situations, and activity
Expertise in context
Incremental acquisition of search knowledge
International Journal of Human-Computer Studies
The reuse of knowledge: a user-centred approach
International Journal of Human-Computer Studies
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Introduction to Expert Systems
Introduction to Expert Systems
Automatic extraction of lung boundaries by a knowledge-based method
VIP '00 Selected papers from the Pan-Sydney workshop on Visualisation - Volume 2
Acquisition of Search Knowledge
EKAW '97 Proceedings of the 10th European Workshop on Knowledge Acquisition, Modeling and Management
Designing Operators for Constructing Domain Knowledge Ontologies
EKAW '97 Proceedings of the 10th European Workshop on Knowledge Acquisition, Modeling and Management
Discovery of Class Relations in Exception Structured Knowledge Bases
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Knowledge in Context: A Strategy for Expert System Maintenance
AI '88 Proceedings of the 2nd Australian Joint Artificial Intelligence Conference
Simulations for Comparing Knowledge Acquisition and Machine Learning
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Maintenance Approach to Case-Based Reasoning
EWCBR '94 Selected papers from the Second European Workshop on Advances in Case-Based Reasoning
Case Generation Method for Constructing an RDR Knowledge Base
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Validating knowledge acquisition: multiple classification ripple-down rules
Validating knowledge acquisition: multiple classification ripple-down rules
The reuse of knowledge in ripple-down rules knowledge-based systems
The reuse of knowledge in ripple-down rules knowledge-based systems
Towards topic-based summarization for interactive document viewing
Proceedings of the 2nd international conference on Knowledge capture
EMMA: An E-Mail Management Assistant
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Evolutionary document management and retrieval for specialized domains on the web
International Journal of Human-Computer Studies
Addressing the Ontology Acquisition Bottleneck Through Reverse Ontological Engineering
Knowledge and Information Systems
A simulation framework for knowledge acquisition evaluation
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Rule + Exception Strategies for Security Information Analysis
IEEE Intelligent Systems
Proceedings of the 11th international conference on Intelligent user interfaces
An expert system for ion chromatography developed using machine learning and knowledge in context
IEA/AIE'93 Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems
Adaptive Ripple Down Rules method based on minimum description length principle
Intelligent Data Analysis
Combining knowledge acquisition and machine learning to control dynamic systems
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Improved knowledge acquisition for high-performance heuristic search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Stochastic foundations for the case-driven acquisition of classification rules
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Detecting anomalies and intruders
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
RDRCE: combining machine learning and knowledge acquisition
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
The Ballarat incremental knowledge engine
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Ripple down rules for part-of-speech tagging
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Online knowledge validation with prudence analysis in a document management application
Expert Systems with Applications: An International Journal
Detection of CAN by ensemble classifiers based on ripple down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Ripple-down rules with censored production rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
RM and RDM, a preliminary evaluation of two prudent RDR techniques
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Situated cognition and knowledge acquisition research
International Journal of Human-Computer Studies
Ripple down rules for vietnamese named entity recognition
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Run-time validation of knowledge-based systems
Proceedings of the seventh international conference on Knowledge capture
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
Context-aware UI component reuse
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
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Ripple Down Rules (RDR) were developed in answer to the problem of maintaining medium to large rule-based knowledge systems. Traditional approaches to knowledge-based systems gave little thought to maintenance as it was expected that extensive upfront domain analysis involving a highly trained specialist, the knowledge engineer, and the time-poor domain expert would produce a complete model capturing what was in the expert’s head. The ever-changing, contextual and embrained nature of knowledge were not a part of the philosophy upon which they were based. RDR was a paradigm shift, which made knowledge acquisition and maintenance one and the same thing by incrementally acquiring knowledge as domain experts directly interacted with naturally occurring cases in their domain. Cases played an integral part of the acquisition process by motivating the capture of new knowledge, framing the context in which new knowledge would apply and ensuring that previously correctly classified cases remained so by requiring that the classification of the new case distinguish it from the system’s classification and be justified by features of the new case. RDR has moved beyond its first representation which handled single classification tasks within the domain of pathology to support multiple conclusions across a wide range of domains such as help-desk support, email classification and RoboCup and problem types including configuration, simulation, planning and natural language processing. This paper reviews the history of RDR research over the past two decades with a view to its future.