International Journal of Game Theory 42 (3):695-723 (2013)
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Abstract |
We evaluate the asymptotic performance of boundedly-rational strategies in multi-armed bandit problems, where performance is measured in terms of the tendency (in the limit) to play optimal actions in either (i) isolation or (ii) networks of other learners. We show that, for many strategies commonly employed in economics, psychology, and machine learning, performance in isolation and performance in networks are essentially unrelated. Our results suggest that the appropriateness of various, common boundedly-rational strategies depends crucially upon the social context (if any) in which such strategies are to be employed.
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Keywords | Social Epistemology Networks Bayesian Learning Game Theory |
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References found in this work BETA
Individual Differences in Rational Thought.Keith E. Stanovich & Richard F. West - 1998 - Journal of Experimental Psychology: General 127 (2):161-188.
Citations of this work BETA
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Truth and Conformity on Networks.Aydin Mohseni & Cole Randall Williams - forthcoming - Erkenntnis:1-22.
Economics Imperialism in Social Epistemology: A Critical Assessment.Manuela Fernández Pinto - 2016 - Philosophy of the Social Sciences 46 (5):443-472.
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