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This dissertation describes PAGODA (Probabilistic Autonomous GOal-Directed Agent), a model for an intelligent agent that learns autonomously in domains containing uncertainty. The model includes techniques for deciding what to learn, selecting a ...
There has been a growing interest in incorporating techniques from the field of artificial intelligence into computer-based learning environments among researchers in instruction. This thesis discusses how applications based on models of human problem ...