Learning With Hazy Beliefs.

Players are rational if they always choose best replies given their beliefs. They are good predictors if the difference between their beliefs and the distribution of the others' actual strategies goes to zero over time. Learning is deterministic if beliefs are fully determined by the initial co...

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Bibliografiset tiedot
Päätekijät: Foster, D, Young, P
Aineistotyyppi: Working paper
Kieli:English
Julkaistu: Department of Economics (John Hopkins University) 1996
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author Foster, D
Young, P
author_facet Foster, D
Young, P
author_sort Foster, D
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description Players are rational if they always choose best replies given their beliefs. They are good predictors if the difference between their beliefs and the distribution of the others' actual strategies goes to zero over time. Learning is deterministic if beliefs are fully determined by the initial conditions and the observed data. (Bayesian updating is particular example). If players are rational, good predictors, and learn deterministically, there are many games for which neither beliefs nor actions coverage to a Nash equilibrium. We introduce an alternative approach to learning called prospecting in which players are rational and good predictors, but beliefs have a small random component. In any finite game, and from any initial conditions, prospecting players learn to play arbitrarily close to Nash equilibrium with probability one.
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spelling oxford-uuid:161d2264-6f3a-4bf8-8efb-db14571eb31a2022-03-26T10:29:23ZLearning With Hazy Beliefs.Working paperhttp://purl.org/coar/resource_type/c_8042uuid:161d2264-6f3a-4bf8-8efb-db14571eb31aEnglishDepartment of Economics - ePrintsDepartment of Economics (John Hopkins University)1996Foster, DYoung, PPlayers are rational if they always choose best replies given their beliefs. They are good predictors if the difference between their beliefs and the distribution of the others' actual strategies goes to zero over time. Learning is deterministic if beliefs are fully determined by the initial conditions and the observed data. (Bayesian updating is particular example). If players are rational, good predictors, and learn deterministically, there are many games for which neither beliefs nor actions coverage to a Nash equilibrium. We introduce an alternative approach to learning called prospecting in which players are rational and good predictors, but beliefs have a small random component. In any finite game, and from any initial conditions, prospecting players learn to play arbitrarily close to Nash equilibrium with probability one.
spellingShingle Foster, D
Young, P
Learning With Hazy Beliefs.
title Learning With Hazy Beliefs.
title_full Learning With Hazy Beliefs.
title_fullStr Learning With Hazy Beliefs.
title_full_unstemmed Learning With Hazy Beliefs.
title_short Learning With Hazy Beliefs.
title_sort learning with hazy beliefs
work_keys_str_mv AT fosterd learningwithhazybeliefs
AT youngp learningwithhazybeliefs