Optimal control of fractional punishment in optional public goods game

Punishment is probably the most frequently used mechanism to increase cooperation in Public Goods Games (PGG); however, it is expensive. To address this problem, this paper introduces an optimal control problem that uses fractional punishment to promote cooperation. We present a series of computatio...

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Yazar: Grau Figueredo, Josias (author)
Diğer Yazarlar: Botta Solano López, Magdalena del Rocío (author), Schaerer Serra, Christian Emilio (author)
Materyal Türü: article
Dil:İngilizce
Baskı/Yayın Bilgisi: 2024
Konular:
Online Erişim:https://doi.org/10.5540/tcam.2024.025.e01737
http://hdl.handle.net/20.500.14066/4611
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author Grau Figueredo, Josias
author2 Botta Solano López, Magdalena del Rocío
Schaerer Serra, Christian Emilio
author2_role author
author
author_browse Botta Solano López, Magdalena del Rocío
Grau Figueredo, Josias
Schaerer Serra, Christian Emilio
author_facet Grau Figueredo, Josias
Botta Solano López, Magdalena del Rocío
Schaerer Serra, Christian Emilio
author_role author
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http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4611/1/Optimal%20control%20of%20fractional%20punishment%20in%20optional%20public%20goods%20game.pdf
http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4611/3/license.txt
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dc.contributor.other.es.fl_str_mv Universidad Nacional de Asunción. Facultad Politécnica
dc.creator.none.fl_str_mv Grau Figueredo, Josias
Botta Solano López, Magdalena del Rocío
Schaerer Serra, Christian Emilio
dc.date.accessioned.none.fl_str_mv 2025-07-17T13:04:03Z
dc.date.available.none.fl_str_mv 2025-07-17T13:04:03Z
dc.date.issued.none.fl_str_mv 2024-11-28
dc.format.extent.es.fl_str_mv 19 páginas
dc.identifier.citation.en.fl_str_mv Grau, J., Botta, R., & Schaerer, C. E. (2024). Optimal control of fractional punishment in optional public goods game. Trends in Computational and Applied Mathematics, 25(1), Article e01737. https://doi.org/10.5540/tcam.2024.025.e01737
dc.identifier.doi.es.fl_str_mv 10.5540/tcam.2024.025.e01737
dc.identifier.essn.es.fl_str_mv 2676-0029
dc.identifier.other.es.fl_str_mv https://doi.org/10.5540/tcam.2024.025.e01737
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.14066/4611
dc.language.iso.es.fl_str_mv eng
dc.publisher.es.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.relation.projectCONACYT.es.fl_str_mv PINV01-694
dc.rights.*.fl_str_mv Atribución 4.0 Internacional
dc.rights.accessRights.es.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.copyright.es.fl_str_mv © 2024 Trends in Computational and Applied Mathematics
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.subject.classification.es.fl_str_mv 11. Sistemas políticos y sociales, estructuras y procesos
11.4. Cambios, procesos y conflictos sociales
dc.subject.ocde.es.fl_str_mv 1. Ciencias Naturales
1.7. Otras ciencias naturales
dc.subject.other.es.fl_str_mv Fractional punishment
Free-riders
OPGG
Optimal control
dc.title.es.fl_str_mv Optimal control of fractional punishment in optional public goods game
dc.type.es.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description Punishment is probably the most frequently used mechanism to increase cooperation in Public Goods Games (PGG); however, it is expensive. To address this problem, this paper introduces an optimal control problem that uses fractional punishment to promote cooperation. We present a series of computational experiments illustrating the effects of single and combined terms of the optimization cost function. In the findings, the optimal controller outperforms the use of constant fractional punishment and gives an insight into the period and size of the penalization to be implemented with respect to the defection in the game.
eu_rights_str_mv openAccess
format article
id CONACYT_bc60fc4d0fbf8cfd83656cd3e284c3ec
identifier_str_mv Grau, J., Botta, R., & Schaerer, C. E. (2024). Optimal control of fractional punishment in optional public goods game. Trends in Computational and Applied Mathematics, 25(1), Article e01737. https://doi.org/10.5540/tcam.2024.025.e01737
10.5540/tcam.2024.025.e01737
2676-0029
language eng
network_acronym_str CONACYT
network_name_str Repositorio Institucional CONACYT
oai_identifier_str oai:repositorio.conacyt.gov.py:20.500.14066/4611
publishDate 2024
publishDateSort 2024
repository.mail.fl_str_mv repositorio.institucional@conacyt.gov.py
repository.name.fl_str_mv Repositorio Institucional CONACYT
repository_id_str
rights_invalid_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
© 2024 Trends in Computational and Applied Mathematics
spelling 0017b0aa-cd65-4401-9aa6-e79ab73e77c96001736001062600Universidad Nacional de Asunción. Facultad Politécnica2025-07-17T13:04:03Z2025-07-17T13:04:03Z2024-11-28Grau, J., Botta, R., & Schaerer, C. E. (2024). Optimal control of fractional punishment in optional public goods game. Trends in Computational and Applied Mathematics, 25(1), Article e01737. https://doi.org/10.5540/tcam.2024.025.e01737https://doi.org/10.5540/tcam.2024.025.e01737http://hdl.handle.net/20.500.14066/461110.5540/tcam.2024.025.e017372676-0029Punishment is probably the most frequently used mechanism to increase cooperation in Public Goods Games (PGG); however, it is expensive. To address this problem, this paper introduces an optimal control problem that uses fractional punishment to promote cooperation. We present a series of computational experiments illustrating the effects of single and combined terms of the optimization cost function. In the findings, the optimal controller outperforms the use of constant fractional punishment and gives an insight into the period and size of the penalization to be implemented with respect to the defection in the game.Consejo Nacional de Ciencia y TecnologíaPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarrollo19 páginasengSociedade Brasileira de Matemática Aplicada e ComputacionalAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccess© 2024 Trends in Computational and Applied Mathematics11. Sistemas políticos y sociales, estructuras y procesos11.4. Cambios, procesos y conflictos socialesFractional punishmentFree-ridersOPGGOptimal control1. Ciencias Naturales1.7. 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spellingShingle Optimal control of fractional punishment in optional public goods game
Grau Figueredo, Josias
11. Sistemas políticos y sociales, estructuras y procesos
11.4. Cambios, procesos y conflictos sociales
Fractional punishment
Free-riders
OPGG
Optimal control
1. Ciencias Naturales
1.7. Otras ciencias naturales
status_str publishedVersion
title Optimal control of fractional punishment in optional public goods game
title_full Optimal control of fractional punishment in optional public goods game
title_fullStr Optimal control of fractional punishment in optional public goods game
title_full_unstemmed Optimal control of fractional punishment in optional public goods game
title_short Optimal control of fractional punishment in optional public goods game
title_sort Optimal control of fractional punishment in optional public goods game
topic 11. Sistemas políticos y sociales, estructuras y procesos
11.4. Cambios, procesos y conflictos sociales
Fractional punishment
Free-riders
OPGG
Optimal control
1. Ciencias Naturales
1.7. Otras ciencias naturales
url https://doi.org/10.5540/tcam.2024.025.e01737
http://hdl.handle.net/20.500.14066/4611