This chapter investigates how a vocabulary for talking about
body actions can emerge in a population of
grounded autonomous agents instantiated as humanoid robots.
The agents play a Posture Game in which the speaker asks
the hearer to take on a certain posture. The speaker either
signals success if the hearer indeed performs an action to
achieve the posture or he shows the posture himself so that
the hearer can acquire the name. The challenge of emergent
body language raises not only fundamental issues in how a
perceptually grounded lexicon can arise in a population of
autonomous agents but also more general questions of human
cognition, in particular how agents can develop a body model
and a mirror system so that they can recognize actions of
others as being the same as their own.
2024. Analysis of a Visual Imitation Algorithm on a Robot Swarm. Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Spranger, Michael
2013. Evolving Grounded Spatial Language Strategies. KI - Künstliche Intelligenz 27:2 ► pp. 97 ff.
Pauw, Simon & Michael Spranger
2012. Embodied Quantifiers. In New Directions in Logic, Language and Computation [Lecture Notes in Computer Science, 7415], ► pp. 52 ff.
Steels, Luc, Michael Spranger, Remi van Trijp, Sebastian Höfer & Manfred Hild
2012. Emergent Action Language on Real Robots. In Language Grounding in Robots, ► pp. 255 ff.
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