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dc.contributor.author
Gutnisky, D. A.
dc.contributor.author
Zanutto, Bonifacio Silvano
dc.date.available
2017-11-26T00:49:37Z
dc.date.issued
2004
dc.identifier.citation
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
dc.identifier.issn
1064-5462
dc.identifier.uri
http://hdl.handle.net/11336/29110
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
M I T Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Operant Learning
dc.subject
Neural Networks
dc.subject
Prisioners Dilemma
dc.subject
Reciprocal Altruism
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Neurology Neuroscience Computational
dc.subject
Cooperative Behavior
dc.subject.classification
Neurociencias
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Medicina Básica
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Cooperation in the iterated prisoner's dilemma is learned by operant conditioning mechanisms
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-11-16T15:12:39Z
dc.journal.volume
10
dc.journal.number
4
dc.journal.pagination
433-461
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Portland
dc.description.fil
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
dc.description.fil
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
dc.journal.title
Artificial Life
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mitpressjournals.org/doi/abs/10.1162/1064546041766479
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1162/1064546041766479
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/citation.cfm?id=1032178
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/pmid/15479547