Computational Deception and Noncooperation

Anton Nijholt (Editor), Ronald C. Arkin, Sebastien Brault, Richard Kulpa, Franck Multon, Benoit Bideau, David Traum, Hayley Hung, Eugene Santos Jr., Deqing Li, Fei Yu, Lina Zhou, Dongsong Zhang

    Research output: Contribution to journalArticleAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    We discuss the importance of modelling deceptive and noncooperative behavior in computer sytems such as intelligent agents, robots and serious game environments for traing and simulation. This short survey is an introduction to the next six contributions to this installment of Trends & Controversies, we find state-of-the-art research approaches to the analysis and generation of noncooperative and deceptive behavior in virtual humans, agents, and robots; the analysis of multiparty interaction in the context of deceptive behavior; and methods to detect misleading information in texts and computer-mediated communication.
    Original languageEnglish
    Pages (from-to)60-75
    Number of pages16
    JournalIEEE intelligent systems
    Volume27
    Issue number6
    DOIs
    Publication statusPublished - 30 Nov 2012

    Keywords

    • HMI-IA: Intelligent Agents
    • HMI-MI: MULTIMODAL INTERACTIONS
    • Intelligent Agents
    • Robotics
    • Virtual Reality
    • Sports
    • Multi-party interaction
    • Text Mining
    • reasoning
    • EWI-22398
    • METIS-293184
    • IR-82692
    • Deception
    • non-cooperation

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  • Cite this

    Nijholt, A. (Ed.), Arkin, R. C., Brault, S., Kulpa, R., Multon, F., Bideau, B., ... Zhang, D. (2012). Computational Deception and Noncooperation. IEEE intelligent systems, 27(6), 60-75. https://doi.org/10.1109/MIS.2012.116