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    An Emotion Theory Approach to Artificial Emotion Systems for Robots and Intelligent Systems: Survey and Classification

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    Tidwell_robot_emotions2014.pdf (484.6Kb)
    Issue Date
    2014
    Author
    Scheuring, Sylvia Tidwell
    Agah, Arvin
    Publisher
    De Gruyter
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Published Version
    10.1515/jisys-2013-0069
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    Abstract
    To assist in the evaluation process when determining architectures for new robots and intelligent systems equipped with artificial emotions, it is beneficial to understand the systems that have been built previously. Other surveys have classified these systems on the basis of their technological features. In this survey paper, we present a classification system based on a model similar to that used in psychology and philosophy for theories of emotion. This makes possible a connection to thousands of years of discourse on the topic of emotion. Five theories of emotion are described based on an emotion theory model proposed by Power and Dalgleish. The paper provides classifications using a model of 10 new questions, for 14 major research projects that describe implementations or designs for systems that use artificial emotions for either robotics or general artificial intelligence
    Description
    This is the published version.
    URI
    http://hdl.handle.net/1808/19676
    Collections
    • Electrical Engineering and Computer Science Scholarly Works [288]
    Citation
    Sylvia Tidwell Scheuring, Arvin Agah. "An Emotion Theory Approach to Artificial Emotion Systems for Robots and Intelligent Systems: Survey and Classification." Journal of Intelligent Systems, 2014: vol 23(3). http://dx.doi.org/10.1515/jisys-2013-0069.

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    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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