Autonomous development of turn-taking behaviors in agent populations: a computational study

Moulin-Frier, Clément; Sánchez Fibla, Martí; Verschure, Paul F. M. J.

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dc.contributor.author	Moulin-Frier, Clément
dc.contributor.author	Sánchez Fibla, Martí
dc.contributor.author	Verschure, Paul F. M. J.
dc.date.accessioned	2017-01-10T15:56:11Z
dc.date.available	2017-01-10T15:56:11Z
dc.date.issued	2015
dc.identifier.citation	Moulin-Frier C, Sanchez-Fibla M, Verschure P.F.M.J. Autonomous development of turn-taking behaviors in agent populations: a computational study. In: 5th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob); 2015 Aug 13-16; Providence, USA. [Place unknown]: IEEE, 2015. p. 188-195. DOI: 10.1109/DEVLRN.2015.7346139
dc.identifier.uri	http://hdl.handle.net/10230/27866
dc.description	Comunicació presentada a 5th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob); 2015 Aug 13-16; Providence, USA.
dc.description.abstract	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.
dc.description.sponsorship	This work is supported by the Socialising Sensori-Motor Contingencies project socSMC-641321H2020-FETPROACT-2014.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	5th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob); 2015 Aug 13-16; Providence, USA. [Place unknown]: IEEE, 2015. p. 188-195.
dc.rights	© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at http://ieeexplore.ieee.org/document/7346139
dc.title	Autonomous development of turn-taking behaviors in agent populations: a computational study
dc.type	info:eu-repo/semantics/conferenceObject
dc.identifier.doi	http://dx.doi.org/10.1109/DEVLRN.2015.7346139
dc.subject.keyword	Computational modeling
dc.subject.keyword	Sociology
dc.subject.keyword	Statistics
dc.subject.keyword	Adaptation models
dc.subject.keyword	Computer architecture
dc.subject.keyword	Visualization
dc.subject.keyword	Data models
dc.relation.projectID	info:eu-repo/grantAgreement/EC/H2020/641321
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/acceptedVersion