Comunicació presentada a 5th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob); 2015 Aug 13-16; Providence, USA.

We provide an original computational model showing how turn-taking behaviors can self-organize out of sensorimotor/ninteractions between vocalizing agents. These agents are equipped with a cognitive architecture based on two coupled/ncontrol loops: a reactive one implementing a basic regulatory behavior to maintain vocal listening and an adaptive one learning an action policy to maximize an overall group presence estimation. We show that the reactive process allows to bootstrap the adaptive learning to converge toward a collective turn-taking strategy. This model provides a computational support to the hypothesis that turn-taking can emerge from functional constraints related to group cohesion and vocal signal interferences and suggests future directions of research to understand how social behaviors/ncan result from sensorimotor interactions.

This work is supported by the Socialising Sensori-Motor Contingencies project socSMC-641321H2020-FETPROACT-2014.