Multimodal Plan Representation for Adaptable BML Scheduling

Dennis Reidsma, H. van Welbergen, Jakob Zwiers

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    In this paper we show how behavior scheduling for Virtual Humans can be viewed as a constraint optimization problem, and how Elckerlyc uses this view to maintain a extensible behavior plan representation that allows one to make micro-adjustments to behaviors while keeping constraints between them intact. These capabilities make it possible to implement tight mutual behavior coordination between a Virtual Human and a user, without requiring to re-schedule every time an adjustment needs to be made.
    Original languageUndefined
    Title of host publicationInternational Conference on Intelligent Virtual Agents, IVA 2011
    EditorsHannes Högni Vilhjálmsson, Stefan Kopp, Stacy Marsella, Kristinn R. Thórisson
    Place of PublicationBerlin
    PublisherSpringer
    Pages296-308
    Number of pages13
    ISBN (Print)978-3-642-23973-1
    DOIs
    Publication statusPublished - Sep 2011
    Event11th International Conference on Intelligent Virtual Agents, IVA 2011 - Reykjavik, Iceland
    Duration: 15 Sep 201117 Sep 2011
    Conference number: 11

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume6895
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference11th International Conference on Intelligent Virtual Agents, IVA 2011
    Abbreviated titleIVA
    CountryIceland
    CityReykjavik
    Period15/09/1117/09/11

    Keywords

    • METIS-278840
    • EWI-20610
    • IR-78151

    Cite this

    Reidsma, D., van Welbergen, H., & Zwiers, J. (2011). Multimodal Plan Representation for Adaptable BML Scheduling. In H. H. Vilhjálmsson, S. Kopp, S. Marsella, & K. R. Thórisson (Eds.), International Conference on Intelligent Virtual Agents, IVA 2011 (pp. 296-308). (Lecture Notes in Computer Science; Vol. 6895). Berlin: Springer. https://doi.org/10.1007/978-3-642-23974-8_32