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KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications

KES-AMSTA 2011: Agent and Multi-Agent Systems: Technologies and Applications pp 504–513Cite as

Combined Course Programmes Generation in Multi-agent e-Learning System Using Policy-Based HTN Planning

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 6682)

Abstract

As integration processes have been intensified in the area of higher education, they should be supported by information technologies. A Combined Course Programmes (CCP) generation mechanism based on HTN planning was developed for a multi-agent system, managing the distributed e-Learning environment. The limitations of HTN planning were overcome by XACML policy language, that was used for specification of preconditions. This improves the expressiveness and facilitates planning in a multi-domain environment supported by different experts. In order to improve the effectiveness of HTN planning in the multi-domain hierarchical environment, a domain refinement technique was designed. Its efficiency gains were confirmed by experiments.

Keywords

  • Multi-agent e-Learning system
  • Hierarchical Task Network (HTN) planning
  • policy specification language
  • refinement search

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  • DOI: 10.1007/978-3-642-22000-5_52
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Author information

Authors and Affiliations

  1. De Montfort University, Leicester, UK

    Pavel Nikolaev & Aladdin Ayesh

Authors
  1. Pavel Nikolaev
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  2. Aladdin Ayesh
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Editor information

Editors and Affiliations

  1. Manchester Metropolitan University, M1 5GD, Manchester, UK

    James O’Shea & Keeley Crockett & 

  2. Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. University of Bournemouth, BH12 5BB, Poole, UK

    Robert J. Howlett

  4. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Nikolaev, P., Ayesh, A. (2011). Combined Course Programmes Generation in Multi-agent e-Learning System Using Policy-Based HTN Planning. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2011. Lecture Notes in Computer Science(), vol 6682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22000-5_52

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  • DOI: https://doi.org/10.1007/978-3-642-22000-5_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21999-3

  • Online ISBN: 978-3-642-22000-5

  • eBook Packages: Computer ScienceComputer Science (R0)