Creating a world for socio-cultural agents

Nick Degens, Gert Jan Hofstede, John Mc Breen, Adrie Beulens, Samuel Mascarenas, Nuno Ferreira, Ana Paiva

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    © Springer International Publishing Switzerland 2014. Creating agents that are capable of emulating similar socio-cultural dynamics to those found in human interaction remains as one of the hardest challenges of artificial intelligence. This problem becomes particularly important when considering embodied agents that are meant to interact with humans in a believable and empathic manner. In this article, we introduce a conceptual model for socio-cultural agents, and, based on this model, we present a set of requirements for these agents to be capable of showing appropriate socio-cultural behaviour. Our model differentiates between three levels of instantiation: the interaction level, consisting of elements that may change depending on the people involved, the group level, consisting of elements that may change depending on the group affiliation of the people involved, and the society level, consisting of elements that may change depending on the cultural background of those involved. As such, we are able to have culture alter agents’ social relationships rather than directly determining actions, allowing for virtual agents to act more appropriately in any social or cultural context.
    Original languageEnglish
    Title of host publicationEmotion modeling
    Subtitle of host publicationtowards pragmatic computational models of affective processes
    EditorsTibor Bosse, Joost Broekens, João Dias, Janneke van der Zwaan
    PublisherSpringer International Publishing
    Pages27-43
    Number of pages17
    Volume8750
    ISBN (Electronic)9783319129730
    ISBN (Print)9783319129723
    DOIs
    Publication statusPublished - 1 Jan 2014

    Publication series

    SeriesLecture Notes in Computer Science
    Volume8750
    ISSN0302-9743

    Keywords

    • artificial intelligence

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