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An Emotion Theory Approach to Artificial Emotion Systems for Robots and Intelligent Systems: Survey and Classification
Scheuring, Sylvia Tidwell Agah, Arvin
Scheuring, Sylvia Tidwell
Agah, Arvin
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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.
Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
De Gruyter
Research Projects
Organizational Units
Journal Issue
Keywords
Robot emotions, Artificial emotion systems, Emotions for artificial intelligence
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.