Modeling the formation of social conventions from embodied real-time interactions
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- dc.contributor.author Freire, Ismael T.
- dc.contributor.author Moulin-Frier, Clément
- dc.contributor.author Sánchez Fibla, Martí
- dc.contributor.author Arsiwalla, Xerxes D.
- dc.contributor.author Verschure, Paul F. M. J.
- dc.date.accessioned 2020-10-13T07:22:03Z
- dc.date.available 2020-10-13T07:22:03Z
- dc.date.issued 2020
- dc.description.abstract What is the role of real-time control and learning in the formation of social conventions? To answer this question, we propose a computational model that matches human behavioral data in a social decision-making game that was analyzed both in discrete-time and continuous-time setups. Furthermore, unlike previous approaches, our model takes into account the role of sensorimotor control loops in embodied decision-making scenarios. For this purpose, we introduce the Control-based Reinforcement Learning (CRL) model. CRL is grounded in the Distributed Adaptive Control (DAC) theory of mind and brain, where low-level sensorimotor control is modulated through perceptual and behavioral learning in a layered structure. CRL follows these principles by implementing a feedback control loop handling the agent’s reactive behaviors (pre-wired reflexes), along with an Adaptive Layer that uses reinforcement learning to maximize long-term reward. We test our model in a multi-agent game-theoretic task in which coordination must be achieved to find an optimal solution. We show that CRL is able to reach human-level performance on standard game-theoretic metrics such as efficiency in acquiring rewards and fairness in reward distribution.en
- dc.description.sponsorship PFMJV. This project has received funding from the European Union’s Horizon 2020 research and innovation programme, ID:820742 and ID:641321. MSF and CMF. This project has been supported by INSOCO-DPI2016-80116-P. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- dc.format.mimetype application/pdf
- dc.identifier.citation Freire IT, Moulin-Frier C, Sanchez-Fibla M, Arsiwalla XD, Verschure PFMJ. Modeling the formation of social conventions from embodied real-time interactions. PLoS One. 2020 Jun 22;15(6):e0234434. DOI: 10.1371/journal.pone.0234434
- dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0234434
- dc.identifier.issn 1932-6203
- dc.identifier.uri http://hdl.handle.net/10230/45465
- dc.language.iso eng
- dc.publisher Public Library of Science (PLoS)
- dc.relation.ispartof PLoS One. 2020 Jun 22;15(6):e0234434
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/820742
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/641321
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/INSOCO-DPI2016-80116-P
- dc.rights © 2020 Freire et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Learningen
- dc.subject.keyword Ballisticsen
- dc.subject.keyword Game theoryen
- dc.subject.keyword Animal socialityen
- dc.subject.keyword Sensory perceptionen
- dc.subject.keyword Human performanceen
- dc.subject.keyword Video gamesen
- dc.subject.keyword Decision makingen
- dc.title Modeling the formation of social conventions from embodied real-time interactionsen
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion