Competent expert systems: a case study in fault diagnosis
Competent expert systems: a case study in fault diagnosis
A diagnosis system using a task integrated problem solver architecture (TIPS), including causal reasoning
CABARET: rule interpretation in a hybrid architecture
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
Multistrategy learning with introspective meta-explanations
ML92 Proceedings of the ninth international workshop on Machine learning
Generic specialists in competent behaviour
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Reflective strategic control of multiple problem solving methods
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Combining causal models and case-based reasoning
Second generation expert systems
Generic tasks and task structures: history, critique and new directions
Second generation expert systems
An investigation of the roles of problem-solving methods in diagnosis
Second generation expert systems
A case-based answer to some problems of knowledge-based systems
SCAI93 Proceedings of the Fourth Scandinavian Conference on Artificial intelligence---93
Case-based reasoning
Flexible integration of multiple learning methods into a problem solving architecture
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Knowledge acquisition and learning by experience—the role of case-specific knowledge
Machine learning and knowledge acquisition
Data & Knowledge Engineering
Meta-Level Architectures and Reflection
Meta-Level Architectures and Reflection
Integration of Learning into a Knowledge Modelling Framework
EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition
Definable Naming Relations in Meta-level Systems
META-92 Proceedings of the 3rd International Workshop on Meta-Programming in Logic
A Hybrid Knowledge-Based System for Technical Diagnosis Learning and Assistance
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
A Knowledge Level Model of Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
A Reflective Architecture for Integrated Memory-Based Learning and Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Using Case-Based Reasoning to Focus Model-Based Diagnostic Problem Solving
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Integrating Induction and Case-Based Reasoning: Methodological Approach and First Evaluations
EWCBR '94 Selected papers from the Second European Workshop on Advances in Case-Based Reasoning
ADAPtER: An Integrated Diagnostic System Combining Case-Based and Abductive Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
A Model for Centering Visual Stimuli Through Adaptive Value Learning
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Meta-Level Learning in a Hybrid Knowledge-Based Architecture
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
A Hybrid Architecture for Knowledge-Based Systems
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Integrated Learning Architectures
ECML '93 Proceedings of the European Conference on Machine Learning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Integrating Induction in a Case-Based Reasoner
EWCBR '94 Selected papers from the Second European Workshop on Advances in Case-Based Reasoning
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Research in knowledge-based systems has shown that the use of multiple knowledge representation formalisms and reasoning mechanisms for achieving a specific task in complex domains could result in efficient and effective problem solving. This has led t o the development of a number of general architectures and application-specific systems integrating multiple problem solvers. A problem solver is defined to be an association between a knowledge intensive (sub)task, an inference mechanism and a knowledge representation formalism on which the inference mechanism is working to achieve the (sub)task. A knowledge-based system making use of different problem solvers should address a number of critical aspects of integration of the solvers, like interaction, in vocation, reactiveness, learning and expandability. The aim of this paper is to distinguish and discuss essential integration aspects, and to review a number of proposed general hybrid architectures and application specific hybrid systems on the basis of these aspects. The review shows that none of these general architectures or application specific systems directly addresses all the identified integration aspects. In general, the limitations exhibited by these systems are due to the naive form of interac tion and invocation of the integrated solvers. We give a high level specification for a competent hybrid knowledge-based architecture that supports the identified integration aspects.