Interaction and Experience in Enactive Intelligence and Humanoid Robotics

C.L. Nehaniv, Frank Foerster, Joe Saunders, Frank Broz, Elena Antonova, Hatice Kose, Caroline Lyon, Hagen Lehmann, Yo Sato, K. Dautenhahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)
214 Downloads (Pure)


We overview how sensorimotor experience can be operationalized for interaction scenarios in which humanoid robots acquire skills and linguistic behaviours via enacting a “form-of-life”’ in interaction games (following Wittgenstein) with humans. The enactive paradigm is introduced which provides a powerful framework for the construction of complex adaptive systems, based on interaction, habit, and experience.
Enactive cognitive architectures (following insights of Varela, Thompson and Rosch) that we have developed support social learning and robot ontogeny by harnessing information-theoretic methods and raw uninterpreted sensorimotor experience to scaffold the acquisition of behaviours.
The success criterion here is validation by the robot engaging in ongoing human-robot interaction with naive participants who, over the course of iterated interactions, shape the robot’s behavioural and linguistic development. Engagement in such interaction exhibiting aspects of purposeful, habitual recurring structure evidences the developed capability of the humanoid to enact language and interaction games as a successful participant.
Original languageEnglish
Title of host publicationProcs IEEE Symposium on Artificial Life (IEEE ALIFE 2013)
Subtitle of host publicationIEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication statusPublished - 2013
EventIEEE ALIFE 2013 - , Singapore
Duration: 16 Apr 201317 Apr 2013


ConferenceIEEE ALIFE 2013


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