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Learning by trial and error.

Abstract:
A person learns by trial and error if he occasionally tries out new strategies, rejecting choices that are erroneous in the sense that they do not lead to higher payoffs. In a game, however, strategies can become erroneous due to a change of behavior by someone else. We introduce a learning rule in which behavior is conditional on whether a player experiences an error of the first or second type. This rule, called interactive trial and error learning, implements Nash equilibrium behavior in any game with generic payoffs and at least one pure Nash equilibrium.

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Publisher:
Elsevier
Journal:
Games and Economic Behavior More from this journal
Volume:
65
Issue:
2
Pages:
626 - 643
Publication date:
2009-01-01
DOI:
ISSN:
0899-8256


Language:
English
UUID:
uuid:c0c13b8f-3fe8-4439-825c-72798b7a53c7
Local pid:
oai:economics.ouls.ox.ac.uk:14656
Deposit date:
2011-08-16
ARK identifier:

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