Autonomous development of turn-taking behaviors in agent populations: a computational study
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- dc.contributor.author Moulin-Frier, Clémentca
- dc.contributor.author Sánchez Fibla, Martíca
- dc.contributor.author Verschure, Paul F. M. J.ca
- dc.date.accessioned 2017-01-10T15:56:11Z
- dc.date.available 2017-01-10T15:56:11Z
- dc.date.issued 2015ca
- dc.description Comunicació presentada a 5th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob); 2015 Aug 13-16; Providence, USA.ca
- 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.en
- dc.description.sponsorship This work is supported by the Socialising Sensori-Motor Contingencies project socSMC-641321H2020-FETPROACT-2014.en
- dc.format.mimetype application/pdfca
- 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.2015.7346139ca
- dc.identifier.doi http://dx.doi.org/10.1109/DEVLRN.2015.7346139
- dc.identifier.uri http://hdl.handle.net/10230/27866
- dc.language.iso engca
- dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
- 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.relation.projectID info:eu-repo/grantAgreement/EC/H2020/641321
- 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/7346139ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.subject.keyword Computational modelingen
- dc.subject.keyword Sociologyen
- dc.subject.keyword Statisticsen
- dc.subject.keyword Adaptation modelsen
- dc.subject.keyword Computer architectureen
- dc.subject.keyword Visualizationen
- dc.subject.keyword Data modelsen
- dc.title Autonomous development of turn-taking behaviors in agent populations: a computational studyca
- dc.type info:eu-repo/semantics/conferenceObjectca
- dc.type.version info:eu-repo/semantics/acceptedVersionca