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Authors:

Luc Steels

Journal:

Trends in Cognitive Science

Publisher:

Pages:

308-312
Evolving grounded communication for robots

Abstract

The computational and robotic modeling of language evolution is emerging as a new exciting subfield in cognitive science. The objective is to come up with precise operational models how communities of agents, equiped with a cognitive apparatus, a sensori-motor system, and a body, can arrive at shared grounded communication systems that have similar characteristics as human languages. Apart from its technological interest for building novel applications in the domain of human-robot or robot-robot interaction, this research is potentially relevant to the many disciplines interested in the origins and evolution of language.