creators_name: Baillie, Jean-Christophe
editors_name: Berthouze, Luc
editors_name: Kozima, Hideki
editors_name: Prince, Christopher G.
editors_name: Sandini, Giulio
editors_name: Stojanov, Georgi
editors_name: Metta, Giorgio
editors_name: Balkenius, Christian
type: confpaper
datestamp: 2005-04-14
lastmod: 2011-03-11 08:55:49
metadata_visibility: show
title: Grounding Symbols in Perception with two Interacting Autonomous Robots
ispublished: pub
subjects: comp-sci-mach-learn
subjects: comp-sci-art-intel
subjects: comp-sci-robot
full_text_status: public
keywords: symbolic representation, symbol grounding, social language learning, autonomous robots, embodied agents
abstract: Grounding symbolic representations in perception is a key and difficult issue for artificial intelligence. The ”Talking Heads” experiment (Steels and Kaplan, 2002) explores an interesting coupling between grounding and social learning of language. In the first version of this experiment, two cameras were interacting in a simplified visual environment made of colored shapes on a white board and they developed a shared, grounded lexicon. We present here the beginning of a new experiment which is an extension of the original one with two autonomous robots instead of two cameras and a complex and unconstrained visual environment. We review the difficulties raised specifically by the embodiment of the agents and propose some directions to address these questions.
date: 2004
date_type: published
volume: 117
publisher: Lund University Cognitive Studies
pagerange: 107-110
refereed: TRUE
citation:   Baillie, Jean-Christophe  (2004) Grounding Symbols in Perception with two Interacting Autonomous Robots.  [Conference Paper]     
document_url: http://cogprints.org/4054/1/baillie.pdf