Interaction and experience in enactive intelligence and humanoid robotics

Chrystopher L. Nehaniv, Frank Förster, Joe Saunders, Frank Broz, Elena Antonova, Hatice Köse, Caroline Lyon, Hagen Lehmann, Yo Sato, Kerstin Dautenhahn

Research output: Contribution to journalConference articlepeer-review

14 Citations (Scopus)

Abstract

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
Article number6602445
Pages (from-to)148-155
Number of pages8
JournalIEEE Symposium on Artificial Life (ALIFE)
Volume2013-January
Issue numberJanuary
DOIs
Publication statusPublished - 2013
Event4th IEEE International Symposium on Artificial Life, IEEE ALIFE 2013 - Singapore, Singapore
Duration: 16 Apr 201319 Apr 2013

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

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