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- W2018910669 abstract "We study a game-theoretic model of how individuals learn by observing others' acting, and how (causal) knowledge grows in communities as result. We devise a cooperative solution in this game, which motivates a new recommendation system where causality (not correlation) is the central concept. We use the system in low-income communities, where individuals make judgments about the efficiency of educational activities (if I take course x, I will get a job). We show that, uncoordinated, individuals easily herd on visible but ineffectual actions. And, in turn, that, coordinated, individuals become massively more responsive - with the intelligence to quickly discern errors, mark them, share them, and move there from, towards what really works." @default.
- W2018910669 created "2016-06-24" @default.
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- W2018910669 date "2011-12-01" @default.
- W2018910669 modified "2023-09-26" @default.
- W2018910669 title "A Model of Joint Learning in Poverty: Coordination and Recommendation Systems in Low-Income Communities" @default.
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- W2018910669 doi "https://doi.org/10.1109/icmla.2011.15" @default.
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