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Supportive consensus

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Supportive consensus

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dc.contributor.author Palomares Chust, Alberto es_ES
dc.contributor.author Rebollo Pedruelo, Miguel es_ES
dc.contributor.author Carrascosa Casamayor, Carlos es_ES
dc.date.accessioned 2021-06-12T03:32:48Z
dc.date.available 2021-06-12T03:32:48Z
dc.date.issued 2020-12-17 es_ES
dc.identifier.issn 1932-6203 es_ES
dc.identifier.uri http://hdl.handle.net/10251/167839
dc.description.abstract [EN] The paper is concerned with the consensus problem in a multi-agent system such that each agent has boundary constraints. Classical Olfati-Saber's consensus algorithm converges to the same value of the consensus variable, and all the agents reach the same value. These algorithms find an equality solution. However, what happens when this equality solution is out of the range of some of the agents? In this case, this solution is not adequate for the proposed problem. In this paper, we propose a new kind of algorithms called supportive consensus where some agents of the network can compensate for the lack of capacity of other agents to reach the average value, and so obtain an acceptable solution for the proposed problem. Supportive consensus finds an equity solution. In the rest of the paper, we define the supportive consensus, analyze and demonstrate the network's capacity to compensate out of boundaries agents, propose different supportive consensus algorithms, and finally, provide some simulations to show the performance of the proposed algorithms. es_ES
dc.description.sponsorship The author(s) received specific funding for this work from the Valencian Research Institute for Artificial Intelligence (VRAIN) where the authors are currently working. This work is partially supported by the Spanish Government project RTI2018-095390-B-C31, GVA-CEICE project PROMETEO/2018/002, and TAILOR, a project funded by EU Horizon 2020 research and innovation programme under GA No 952215. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. es_ES
dc.language Inglés es_ES
dc.publisher Public Library of Science es_ES
dc.relation.ispartof PLoS ONE es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multiagent systems es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Supportive consensus es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1371/journal.pone.0243215 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095390-B-C31/ES/HACIA UNA MOVILIDAD INTELIGENTE Y SOSTENIBLE SOPORTADA POR SISTEMAS MULTI-AGENTES Y EDGE COMPUTING/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2018%2F002/ES/TECNOLOGIES PER ORGANITZACIONS HUMANES EMOCIONALS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Palomares Chust, A.; Rebollo Pedruelo, M.; Carrascosa Casamayor, C. (2020). Supportive consensus. PLoS ONE. 15(12):1-30. https://doi.org/10.1371/journal.pone.0243215 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1371/journal.pone.0243215 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 30 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 12 es_ES
dc.identifier.pmid 33332368 es_ES
dc.identifier.pmcid PMC7746199 es_ES
dc.relation.pasarela S\424369 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Instituto Valenciano de Investigación en Inteligencia Artificial es_ES
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upv.costeAPC 2060 es_ES


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