Combined course programmes generation in multi-agent e-learning system using policy-based HTN planning

Pavel Nikolaev*, Aladdin Ayesh

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publicationAgent and Multi-Agent Systems
    Subtitle of host publicationTechnologies and Applications - 5th KES International Conference, KES-AMSTA 2011, Proceedings
    Pages504-513
    Number of pages10
    DOIs
    Publication statusPublished - 2011
    Event5th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2011 - Manchester, United Kingdom
    Duration: 29 Jun 20111 Jul 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6682 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference5th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2011
    Country/TerritoryUnited Kingdom
    CityManchester
    Period29/06/111/07/11

    Keywords

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

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