An Intelligent Tutoring Architecture for Simulation-based Training

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Truly generic and reusable intelligent tutoring software architectures have remained elusive. As part of our effort to develop tutoring systems for simulations of ill-defined domains, a software framework has emerged with minimal dependencies on any domain-specific details, except for the data used to instantiate the framework for a particular application. Here, we describe this framework, its functionality, underlying representations, configurability, use of natural language generation, and do so in the context of other approaches to generic ITS architectures.