Abstract
Symbolic interactionist principles of sociology are based on the idea that human action is guided by culturally shared symbolic representations of identities, behaviours, situations and emotions. Shared linguistic, paralinguistic, or kinesic elements allow humans to coordinate action by enacting identities in social situations. Structures of identity-based interactions can lead to the enactment of social orders that solve social dilemmas (e.g., by promoting cooperation). Our goal is to build an artificial agent that mimics the identity-based interactions of humans. This paper describes a study in which humans played a repeated prisoner’s dilemma game against other humans or one of three artificial agents (bots). One of the bots has an explicit representation of identity and demonstrates more human-like behaviour than the other bots.
The original version of this chapter was revised. An erratum to this chapter can be found at DOI 10.1007/978-3-319-34111-8_40
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-34111-8_40
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Jung, J.D.A., Hoey, J., Morgan, J.H., Schröder, T., Wolf, I. (2016). Grounding Social Interaction with Affective Intelligence. In: Khoury, R., Drummond, C. (eds) Advances in Artificial Intelligence. Canadian AI 2016. Lecture Notes in Computer Science(), vol 9673. Springer, Cham. https://doi.org/10.1007/978-3-319-34111-8_7
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