What do users ask? Some thoughts on diagnostic advice
Proc. of the fifth technical conference of the British Computer Society Specialist Group on Expert Systems on Expert systems 85
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IEEE Expert: Intelligent Systems and Their Applications
Presenting Significant Information in Expert System Explanation
EPIA '95 Proceedings of the 7th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
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Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
An Agent Based Approach to Expert System Explanation
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
Knowledge-based system explanation: the ripple-down rules alternative
Knowledge and Information Systems
QUE: an expert system explanation facility that answers "why not" types of questions
Journal of Computing Sciences in Colleges
Journal of Management Information Systems
An evaluation of the usefulness of case-based explanation
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Human-machine design considerations in advanced machine-learning systems
IBM Journal of Research and Development
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The generating of explanation facilities have been amongst the most eulogised features of expert system applications. However, despite many years of research, many current systems still fail to meet explanation needs adequately, unless the explanations they naturally generate are augmented with additional knowledge. This is because the standard explanation feature in an expert system provides some problem solving knowledge, but little in the way of domain knowledge. Moreover, the augmented knowledge will often have to contain knowledge about the form of interaction during the explanation and user knowledge. This paper looks at explanation requirements for expert systems and traces the historical development of explanation by reviewing key research projects in first and second generation expert systems. The paper also briefly reviews explanation research supporting other knowledge representation paradigms such as frames and case based reasoning expert systems.