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dc.contributor.authorEgbert, Matthew D.
dc.contributor.authorBarandiaran Fernández, Xabier Eugenio ORCID
dc.date.accessioned2023-01-31T17:52:53Z
dc.date.available2023-01-31T17:52:53Z
dc.date.issued2022-12
dc.identifier.citationFrontiers in Neurorobotics 16 : (2022) // Article ID 847054es_ES
dc.identifier.issn1662-5218
dc.identifier.urihttp://hdl.handle.net/10810/59578
dc.description.abstractWe suggest that the influence of biology in 'biologically inspired robotics' can be embraced at a deeper level than is typical, if we adopt an enactive approach that moves the focus of interest from how problems are solved to how problems emerge in the first place. In addition to being inspired by mechanisms found in natural systems or by evolutionary design principles directed at solving problems posited by the environment, we can take inspiration from the precarious, self-maintaining organization of living systems to investigate forms of cognition that are also precarious and self-maintaining and that thus also, like life, have their own problems that must be be addressed if they are to persist. In this vein, we use a simulation to explore precarious, self-reinforcing sensorimotor habits as a building block for a robot's behavior. Our simulations of simple robots controlled by an Iterative Deformable Sensorimotor Medium demonstrate the spontaneous emergence of different habits, their re-enactment and the organization of an ecology of habits within each agent. The form of the emergent habits is constrained by the sensory modality of the robot such that habits formed under one modality (vision) are more similar to each other than they are to habits formed under another (audition). We discuss these results in the wider context of: (a) enactive approaches to life and mind, (b) sensorimotor contingency theory, (c) adaptationist vs. structuralist explanations in biology, and (d) the limits of functionalist problem-solving approaches to (artificial) intelligence.es_ES
dc.description.sponsorshipThis work was supported in part via funding from the Digital Life Institute, University of Auckland. XB acknowledges funding from the Spanish Ministry of Science and Innovation for the research project Outonomy PID2019-104576GB-I00 and IAS-Research group funding IT1668-22 from Basque Government.es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2019-104576GB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectenactive roboticses_ES
dc.subjectsensorimotor contingencieses_ES
dc.subjectproblem-solvinges_ES
dc.subjecthabitses_ES
dc.subjectIDSMes_ES
dc.subjectsensorimotor autonomyes_ES
dc.titleUsing enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habitses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 Egbert and Barandiaran. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fnbot.2022.847054/fulles_ES
dc.identifier.doi10.3389/fnbot.2022.847054
dc.departamentoesFilosofíaes_ES
dc.departamentoeuFilosofiaes_ES


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© 2022 Egbert and Barandiaran. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's license is described as © 2022 Egbert and Barandiaran. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.