科研之友
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摘要
We study a standard model of economic agents on the nodes of a social network graph who learn a binary "state of the world" , from initial signals, by repeatedly observing each other's best guesses. Asymptotic learning is said to occur on a family of graphs with if with probability tending to as all agents in eventually estimate correctly. We identify sufficient conditions for asymptotic learning and contruct examples where learning does not occur when the conditions do not hold.
- 出版日期2014-2
