2026-04-28T17:12:05Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/52362024-05-10T11:24:12Zcom_10259_3830com_10259_5086com_10259_2604col_10259_3832
Sandholm, William H.
d1c3f782-8ce3-40ee-8555-9af7b70dddf6
500
Izquierdo, Segismundo S.
4e3f9084-ce78-4483-84da-09c5ec53d481
500
Izquierdo Millán, Luis Rodrigo
299
500
0000-0003-1057-4465
2020-03-09T09:07:06Z
2020-03-09T09:07:06Z
2019-11
1933-6837
http://hdl.handle.net/10259/5236
10.3982/TE3565
We study population game dynamics under which each revising agent tests each
of his strategies a fixed number of times, with each play of each strategy being
against a newly drawn opponent, and chooses the strategy whose total payoff was
highest. In the centipede game, these best experienced payoff dynamics lead to cooperative
play. When strategies are tested once, play at the almost globally stable
state is concentrated on the last few nodes of the game, with the proportions of
agents playing each strategy being largely independent of the length of the game.
Testing strategies many times leads to cyclical play.
U.S. National Science Foundation (Grants SES-1458992 and SES- 1728853), the U.S. Army Research Office (Grants W911NF-17-1-0134 MSN201957), Project ECO2017-83147- C2-2-P (MINECO/AEI/FEDER, UE), and the Spanish Ministerio de Educación, Cultura, y Deporte (Grants PRX15/00362 and PRX16/00048)
application/pdf
eng
Econometric Society
Theoretical Economics. 2019, V. 14, n. 4, p. 1347–1386
https://econtheory.org/ojs/index.php/te/issue/view/45
info:eu-repo/grantAgreement/MINECO/ECO2017-83147-
C2-2-P
info:eu-repo/grantAgreement/MECD/PRX15/00362
info:eu-repo/grantAgreement/MECD/PRX16/00048
Atribución-NoComercial 4.0 Internacional
http://creativecommons.org/licenses/by-nc/4.0/
info:eu-repo/semantics/openAccess
Evolutionary game theory
backward induction
centipede game
computational algebra
Economía
Economics
Best experienced payoff dynamics and cooperation in the centipede game
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Theoretical Economics
14
4
1347
1385
TEXT
Sandholm-te_2019.pdf.txt
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oai:riubu.ubu.es:10259/5236
2024-05-10 13:24:12.405
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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