Learning optimal risk strategies in multi-agent economic systems

dc.creatorNeñer, Julián
dc.creatorKreiner, Javier
dc.creatorLaguna, María Fernanda
dc.date2020-10
dc.date2020
dc.date2021-03-15T15:49:51Z
dc.date.accessioned2023-07-15T00:48:44Z
dc.date.available2023-07-15T00:48:44Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/114926
dc.identifierhttp://49jaiio.sadio.org.ar/pdfs/asai/ASAI-15.pdf
dc.identifierissn:2451-7585
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7455902
dc.descriptionOptimal 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.
dc.descriptionSociedad Argentina de Informática
dc.formatapplication/pdf
dc.format172-176
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.subjectCiencias Informáticas
dc.subjectEconophysics
dc.subjectWealth distributions
dc.subjectMachine learning
dc.titleLearning optimal risk strategies in multi-agent economic systems
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


Este ítem pertenece a la siguiente institución