Learning optimal risk strategies in multi-agent economic systems
- Autores
- Neñer, Julián; Kreiner, Javier; Laguna, María Fernanda
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Optimal individual strategies for agents undergoing transactions in the Yard-Sale model were studied. The inclusion of rationality in their behavior by endowing each agent with a neural network and training them with a genetic algorithm showed promising results.
Sociedad Argentina de Informática - Materia
-
Ciencias Informáticas
Econophysics
Wealth distributions
Machine learning - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/3.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/114926
Ver los metadatos del registro completo
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Learning optimal risk strategies in multi-agent economic systemsNeñer, JuliánKreiner, JavierLaguna, María FernandaCiencias InformáticasEconophysicsWealth distributionsMachine learningOptimal individual strategies for agents undergoing transactions in the Yard-Sale model were studied. The inclusion of rationality in their behavior by endowing each agent with a neural network and training them with a genetic algorithm showed promising results.Sociedad Argentina de Informática2020-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf172-176http://sedici.unlp.edu.ar/handle/10915/114926enginfo:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/asai/ASAI-15.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:26:45Zoai:sedici.unlp.edu.ar:10915/114926Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:26:45.69SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Learning optimal risk strategies in multi-agent economic systems |
title |
Learning optimal risk strategies in multi-agent economic systems |
spellingShingle |
Learning optimal risk strategies in multi-agent economic systems Neñer, Julián Ciencias Informáticas Econophysics Wealth distributions Machine learning |
title_short |
Learning optimal risk strategies in multi-agent economic systems |
title_full |
Learning optimal risk strategies in multi-agent economic systems |
title_fullStr |
Learning optimal risk strategies in multi-agent economic systems |
title_full_unstemmed |
Learning optimal risk strategies in multi-agent economic systems |
title_sort |
Learning optimal risk strategies in multi-agent economic systems |
dc.creator.none.fl_str_mv |
Neñer, Julián Kreiner, Javier Laguna, María Fernanda |
author |
Neñer, Julián |
author_facet |
Neñer, Julián Kreiner, Javier Laguna, María Fernanda |
author_role |
author |
author2 |
Kreiner, Javier Laguna, María Fernanda |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Econophysics Wealth distributions Machine learning |
topic |
Ciencias Informáticas Econophysics Wealth distributions Machine learning |
dc.description.none.fl_txt_mv |
Optimal individual strategies for agents undergoing transactions in the Yard-Sale model were studied. The inclusion of rationality in their behavior by endowing each agent with a neural network and training them with a genetic algorithm showed promising results. Sociedad Argentina de Informática |
description |
Optimal individual strategies for agents undergoing transactions in the Yard-Sale model were studied. The inclusion of rationality in their behavior by endowing each agent with a neural network and training them with a genetic algorithm showed promising results. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/114926 |
url |
http://sedici.unlp.edu.ar/handle/10915/114926 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/asai/ASAI-15.pdf info:eu-repo/semantics/altIdentifier/issn/2451-7585 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/3.0/ Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) |
dc.format.none.fl_str_mv |
application/pdf 172-176 |
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reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
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SEDICI (UNLP) |
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Universidad Nacional de La Plata |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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alira@sedici.unlp.edu.ar |
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score |
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