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Integrating Intelligent Agents, User Models, and Automatic Content Categorization in a Virtual Environment

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3220))

Abstract

This paper presents an approach that aims to integrate intelligent agents, user models and automatic content categorization in a virtual environment. In this environment, called AdapTIVE (Adaptive Three-dimensional Intelligent and Virtual Environment), an intelligent virtual agent assists users during navigation and retrieval of relevant information. The users’ interests and preferences, represented in a user model, are used in the adaptation of environment structure. An automatic content categorization process, that applies machine-learning techniques, is used in the spatial organization of the contents in the environment. This is a promising approach for new and advanced forms of education, entertainment and e-commerce. In order to validate our approach, a case study of a distance-learning environment, used to make educational content available, is presented.

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© 2004 Springer-Verlag Berlin Heidelberg

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dos Santos, C.T., Osório, F.S. (2004). Integrating Intelligent Agents, User Models, and Automatic Content Categorization in a Virtual Environment. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2004. Lecture Notes in Computer Science, vol 3220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30139-4_13

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  • DOI: https://doi.org/10.1007/978-3-540-30139-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22948-3

  • Online ISBN: 978-3-540-30139-4

  • eBook Packages: Springer Book Archive

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