An agent that learns to support users of a Web site

Abbattista, F, Paradiso, A, Semeraro, G and Zambetta, F 2004, 'An agent that learns to support users of a Web site', Applied Soft Computing, vol. 4, pp. 1-12.


Document type: Journal Article
Collection: Journal Articles

Title An agent that learns to support users of a Web site
Author(s) Abbattista, F
Paradiso, A
Semeraro, G
Zambetta, F
Year 2004
Journal name Applied Soft Computing
Volume number 4
Start page 1
End page 12
Total pages 12
Publisher Elsevier
Abstract The terms agent, intelligent agent and 3D agent are becoming more and more frequently used in literature. A key issue in the web community is that a web site must be equipped with a virtual agent able to support users in a natural way. Following this trend, we decided to implement scenographic agents mimic intelligent reasoning (SAMIR), a prototype of a tool for animating 3D intelligent agents, mainly founded on a genetic algorithms-based learning system, namely an XCS, and on an FFD-based technique for the facial deformation of the character. SAMIR is based on an object-oriented architecture, and it adopts the MPEG-4 facial animation parameters (FAPs) as a description format for facial expressions and animations.
Subject Adaptive Agents and Intelligent Robotics
Keyword(s) Facial animation
Genetic algorithms
Intelligent agents
User profiling
Copyright notice Copyright © 2003 Elsevier B.V. All rights reserved.
ISSN 1568-4946
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