Emotions for intelligent agents in crisis management simulations: A survey

Michael Loizou, Thomas Hartley, Sarah Slater, Robert Newman, Lucia Pannese

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

    3 Citations (Scopus)


    Intelligent agents or non-player characters (NPCs) in human interaction scenarios are required to react in ways that are consistent to the training scenario. In many cases these NPCs are controlled by a simple state machine and scripts. The use of these techniques leads to responses that are of poor quality and machine driven. In our work we aim to design a model for incorporating emotional enhancements (concentrating on negative primary emotions such as anger and sadness and also looking at secondary emotions such as anxiety and fear) into intelligent agents. The model will allow NCPs in virtual training applications to simulate human behaviour in crisis management. In this paper, we review current research on models of emotions for intelligent agents in crisis simulations. We identify and discuss key challenges in the area, the psychological theories and contexts in which the models are used and promising research directions.
    Original languageEnglish
    Title of host publication2012 17th International Conference on Computer Games (CGAMES)
    EditorsQuasim Mehdi, Adel Elmaghraby, Ian Marshall, Robert Moreton, Rammohan Ragade, Begoña García Zapirain, Julia Chariker, Mostafa El-Said, Roman Yampolskiy, Nickola Li Zhigiang
    Number of pages7
    ISBN (Print)9781467311199
    Publication statusPublished - 2012
    EventCGAMES 2012 USA - Louisville, United States
    Duration: 30 Jul 20121 Aug 2012


    ConferenceCGAMES 2012 USA
    Country/TerritoryUnited States


    • Adaptation models
    • Computer architecture
    • Psychology
    • Appraisal
    • Games
    • Humans
    • Computational modeling


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