Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms

Autores
Gutnisky, D. A.; Zanutto, Bonifacio Silvano
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative behavior in populations of selfish agents. Although cooperation in the iterated prisoner's dilemma (IPD) has been studied for over twenty years, most of this research has been focused on strategies that involve nonlearned behavior. Another approach is to suppose that players' selection of the preferred reply might he enforced in the same way as feeding animals track the best way to feed in changing nonstationary environments. Learning mechanisms such as operant conditioning enable animals to acquire relevant characteristics of their environment in order to get reinforcements and to avoid punishments. In this study, the role of operant conditioning in the learning of cooperation was evaluated in the PD. We found that operant mechanisms allow the learning of IPD play against other strategies. When random moves are allowed in the game, the operant learning model showed low sensitivity. On the basis of this evidence, it is suggested that operant learning might be involved in reciprocal altruism.
Fil: Gutnisky, D. A.. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Zanutto, Bonifacio Silvano. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina
Materia
OPERANT LEARNING
NEURAL NETWORKS
PRISIONERS DILEMMA
RECIPROCAL ALTRUISM
NEUROLOGY NEUROSCIENCE COMPUTATIONAL
COOPERATIVE BEHAVIOR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/29110
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanismsGutnisky, D. A.Zanutto, Bonifacio SilvanoOPERANT LEARNINGNEURAL NETWORKSPRISIONERS DILEMMARECIPROCAL ALTRUISMNEUROLOGY NEUROSCIENCE COMPUTATIONALCOOPERATIVE BEHAVIORhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative behavior in populations of selfish agents. Although cooperation in the iterated prisoner's dilemma (IPD) has been studied for over twenty years, most of this research has been focused on strategies that involve nonlearned behavior. Another approach is to suppose that players' selection of the preferred reply might he enforced in the same way as feeding animals track the best way to feed in changing nonstationary environments. Learning mechanisms such as operant conditioning enable animals to acquire relevant characteristics of their environment in order to get reinforcements and to avoid punishments. In this study, the role of operant conditioning in the learning of cooperation was evaluated in the PD. We found that operant mechanisms allow the learning of IPD play against other strategies. When random moves are allowed in the game, the operant learning model showed low sensitivity. On the basis of this evidence, it is suggested that operant learning might be involved in reciprocal altruism.Fil: Gutnisky, D. A.. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Zanutto, Bonifacio Silvano. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; ArgentinaM I T Press2004info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/29110Gutnisky, D. A. ; Zanutto, Bonifacio Silvano; Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms; M I T Press; Artificial Life; 10; 4; -1-2004; 433-4611064-5462CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.mitpressjournals.org/doi/abs/10.1162/1064546041766479info:eu-repo/semantics/altIdentifier/doi/10.1162/1064546041766479info:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/citation.cfm?id=1032178info:eu-repo/semantics/altIdentifier/pmid/15479547info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:31:11Zoai:ri.conicet.gov.ar:11336/29110instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:31:11.372CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
title Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
spellingShingle Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
Gutnisky, D. A.
OPERANT LEARNING
NEURAL NETWORKS
PRISIONERS DILEMMA
RECIPROCAL ALTRUISM
NEUROLOGY NEUROSCIENCE COMPUTATIONAL
COOPERATIVE BEHAVIOR
title_short Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
title_full Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
title_fullStr Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
title_full_unstemmed Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
title_sort Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
dc.creator.none.fl_str_mv Gutnisky, D. A.
Zanutto, Bonifacio Silvano
author Gutnisky, D. A.
author_facet Gutnisky, D. A.
Zanutto, Bonifacio Silvano
author_role author
author2 Zanutto, Bonifacio Silvano
author2_role author
dc.subject.none.fl_str_mv OPERANT LEARNING
NEURAL NETWORKS
PRISIONERS DILEMMA
RECIPROCAL ALTRUISM
NEUROLOGY NEUROSCIENCE COMPUTATIONAL
COOPERATIVE BEHAVIOR
topic OPERANT LEARNING
NEURAL NETWORKS
PRISIONERS DILEMMA
RECIPROCAL ALTRUISM
NEUROLOGY NEUROSCIENCE COMPUTATIONAL
COOPERATIVE BEHAVIOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative behavior in populations of selfish agents. Although cooperation in the iterated prisoner's dilemma (IPD) has been studied for over twenty years, most of this research has been focused on strategies that involve nonlearned behavior. Another approach is to suppose that players' selection of the preferred reply might he enforced in the same way as feeding animals track the best way to feed in changing nonstationary environments. Learning mechanisms such as operant conditioning enable animals to acquire relevant characteristics of their environment in order to get reinforcements and to avoid punishments. In this study, the role of operant conditioning in the learning of cooperation was evaluated in the PD. We found that operant mechanisms allow the learning of IPD play against other strategies. When random moves are allowed in the game, the operant learning model showed low sensitivity. On the basis of this evidence, it is suggested that operant learning might be involved in reciprocal altruism.
Fil: Gutnisky, D. A.. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Zanutto, Bonifacio Silvano. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina
description The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative behavior in populations of selfish agents. Although cooperation in the iterated prisoner's dilemma (IPD) has been studied for over twenty years, most of this research has been focused on strategies that involve nonlearned behavior. Another approach is to suppose that players' selection of the preferred reply might he enforced in the same way as feeding animals track the best way to feed in changing nonstationary environments. Learning mechanisms such as operant conditioning enable animals to acquire relevant characteristics of their environment in order to get reinforcements and to avoid punishments. In this study, the role of operant conditioning in the learning of cooperation was evaluated in the PD. We found that operant mechanisms allow the learning of IPD play against other strategies. When random moves are allowed in the game, the operant learning model showed low sensitivity. On the basis of this evidence, it is suggested that operant learning might be involved in reciprocal altruism.
publishDate 2004
dc.date.none.fl_str_mv 2004
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/29110
Gutnisky, D. A. ; Zanutto, Bonifacio Silvano; Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms; M I T Press; Artificial Life; 10; 4; -1-2004; 433-461
1064-5462
CONICET Digital
CONICET
url http://hdl.handle.net/11336/29110
identifier_str_mv Gutnisky, D. A. ; Zanutto, Bonifacio Silvano; Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms; M I T Press; Artificial Life; 10; 4; -1-2004; 433-461
1064-5462
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.mitpressjournals.org/doi/abs/10.1162/1064546041766479
info:eu-repo/semantics/altIdentifier/doi/10.1162/1064546041766479
info:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/citation.cfm?id=1032178
info:eu-repo/semantics/altIdentifier/pmid/15479547
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv M I T Press
publisher.none.fl_str_mv M I T Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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