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GLAM: A Generic Layered Adaptation Model for Adaptive Hypermedia Systems

  • Cédric Jacquiot
  • Yolaine Bourda
  • Fabrice Popineau
  • Alexandre Delteil
  • Chantal Reynaud
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)

Abstract

This paper introduces GLAM, a system based on situation calculus and meta-rules, which is able to provide adaptation by means of selection of actions. It is primarily designed to provide adaptive navigation. The different levels of conception, related to different aspects of the available metadata, are split in different layers in GLAM, in order to ease the conception of the adaptation system as well as to increase the potential use of complex adaptation mechanisms. GLAM uses meta-rules to handle these layers.

Keywords

Base Rule Inference Engine Adaptation Data Horn Clause Rule System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cédric Jacquiot
    • 1
  • Yolaine Bourda
    • 1
  • Fabrice Popineau
    • 1
  • Alexandre Delteil
    • 2
  • Chantal Reynaud
    • 3
  1. 1.Department of Computer Science, Supélec, Plateau de MoulonGif-sur-YvetteFrance
  2. 2.France Telecom R&DIssy-les-MoulineauxFrance
  3. 3.Université Paris-Sud XI, CNRS (LRI) & INRIA(Futurs)OrsayFrance

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