Ítem
Acceso Abierto
An artificial economy based on reinforcement learning and agent based modeling
dc.creator | Lozano, Fernando | |
dc.creator | Lozano, Jaime | |
dc.creator | García, Mario | |
dc.date.accessioned | 2015-09-28T16:27:07Z | |
dc.date.available | 2015-09-28T16:27:07Z | |
dc.date.created | 2007 | |
dc.date.issued | 2007 | |
dc.description.abstract | In this paper, we employ techniques from artificial intelligence such as reinforcement learning and agent based modeling as building blocks of a computational model for an economy based on conventions. First we model the interaction among firms in the private sector. These firms behave in an information environment based on conventions, meaning that a firm is likely to behave as its neighbors if it observes that their actions lead to a good pay off. On the other hand, we propose the use of reinforcement learning as a computational model for the role of the government in the economy, as the agent that determines the fiscal policy, and whose objective is to maximize the growth of the economy. We present the implementation of a simulator of the proposed model based on SWARM, that employs the SARSA(λ) algorithm combined with a multilayer perceptron as the function approximation for the action value function. | eng |
dc.format.extent | [9 páginas] | spa |
dc.format.medium | Recurso electrónico | spa |
dc.format.mimetype | application/pdf | |
dc.format.tipo | Documento | spa |
dc.identifier.doi | https://doi.org/10.48713/10336_10893 | |
dc.identifier.uri | http://repository.urosario.edu.co/handle/10336/10893 | |
dc.language.iso | spa | |
dc.publisher | Universidad del Rosario | spa |
dc.publisher.department | Facultad de Economía | spa |
dc.relation.citationTitle | Serie Documentos de trabajo. Economía | |
dc.relation.uri | https://ideas.repec.org/p/col/000092/003907.html | |
dc.rights.accesRights | info:eu-repo/semantics/openAccess | |
dc.rights.acceso | Abierto (Texto completo) | spa |
dc.rights.cc | Atribución-NoComercial-SinDerivadas 2.5 Colombia | spa |
dc.source.instname | instname:Universidad del Rosario | spa |
dc.source.instname | instname:Universidad del Rosario | spa |
dc.source.reponame | reponame:Repositorio Institucional EdocUR | spa |
dc.subject.ddc | Economía | |
dc.subject.keyword | reinforcement learning | eng |
dc.subject.keyword | agent-based modeling | eng |
dc.subject.keyword | computational economics | eng |
dc.subject.lemb | Desarrollo económico | spa |
dc.subject.lemb | Modelos económicos | spa |
dc.subject.lemb | Crecimiento económico | spa |
dc.subject.lemb | Economía | spa |
dc.title | An artificial economy based on reinforcement learning and agent based modeling | spa |
dc.type | workingPaper | eng |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | |
dc.type.spa | Documento de trabajo | spa |