Communicative acts for explanation generation
International Journal of Man-Machine Studies
Explanation and interaction: the computer generation of explanatory dialogues
Explanation and interaction: the computer generation of explanatory dialogues
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Answering Student Queries: Functionality and Mechanisms
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
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QUE is an exploratory environment for users of rule based intelligent systems. Its original motivation was the question of how to analyze and explain the discrepancies in rule-based intelligent tutoring systems, between "near miss" incorrect responses of a student and the system's knowledge of the "correct" line of reasoning. It is currently under development as a suite of techniques which provide explanation by supporting the exploration of a system's reasoning processes. This paper describes some of the exploratory modes, the underlying mechanisms that support them, and a number of ways in which these modes and mechanisms might be incorporated into intelligent tutoring architectures.