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In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order...
After discussing and formalizing domain knowledge representation and user models, a formal model of emotional pedagogical agents in intelligent tutoring systems is presented in this paper, and the functionalities of model are described in detail. This kind of emotional pedagogical agent considers users' emotional statues during the process of producing personalized learning units dynamically based...
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