Steels, L. The Autotelic Principle. In Fumiya, I. and Pfeifer, R. and Steels,L. and Kunyoshi, K., editor, Embodied Artificial Intelligence, Lecture Notes in AI (vol. 3139), pages 231-242, Springer Verlag. Berlin, 2004.

Sony CSL authors: Luc Steels

Abstract

The dominant motivational paradigm in embodied AI so far is based on the classical behaviorist approach of reward and punishment. The paper introduces a new principle based on &facute;low theory'. This new, `autotelic', principle proposes that agents can become self-motivated if their target is to balance challenges and skills. The paper presents an operational version of this principle and argues that it enables a developing robot to self-regulate his development.

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BibTeX entry

@INCOLLECTION { steels:04b, ADDRESS="Berlin", AUTHOR="Steels, L.", BOOKTITLE="Embodied Artificial Intelligence", EDITOR="Fumiya, I. and Pfeifer, R. and Steels,L. and Kunyoshi, K.", PAGES="231--242", PUBLISHER="Springer Verlag", SERIES="Lecture Notes in AI", TITLE="The Autotelic Principle", VOLUME="3139", YEAR="2004", }