TY - GEN
T1 - Learning under social influence
AU - Tahbaz-Salehi, Alireza
AU - Sandroni, Alvaro
AU - Jadbabaie, Ali
PY - 2009/12/1
Y1 - 2009/12/1
N2 - In this paper, we study a model of social learning where individuals are under influence of others in their social clique. In our model, each agent receives private noisy signals about an unobservable, underlying state of the world. At the end of each time period, the belief of an individual is equal to the convex combination of her posterior beliefs derived from the signal observed, and the priors of her neighbors. Our model reduces to the well-known consensus model when private signals are non-informative. We show that if the network of social influences is strongly connected, then all agents will have asymptotically correct forecasts. In other words, all individuals will be able to asymptotically learn the true state of the world, as far as their observations are concerned. Finally, we show that all agents assign asymptotically equal beliefs to the true state of the world.
AB - In this paper, we study a model of social learning where individuals are under influence of others in their social clique. In our model, each agent receives private noisy signals about an unobservable, underlying state of the world. At the end of each time period, the belief of an individual is equal to the convex combination of her posterior beliefs derived from the signal observed, and the priors of her neighbors. Our model reduces to the well-known consensus model when private signals are non-informative. We show that if the network of social influences is strongly connected, then all agents will have asymptotically correct forecasts. In other words, all individuals will be able to asymptotically learn the true state of the world, as far as their observations are concerned. Finally, we show that all agents assign asymptotically equal beliefs to the true state of the world.
UR - http://www.scopus.com/inward/record.url?scp=77950842814&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950842814&partnerID=8YFLogxK
U2 - 10.1109/CDC.2009.5399751
DO - 10.1109/CDC.2009.5399751
M3 - Conference contribution
AN - SCOPUS:77950842814
SN - 9781424438716
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1513
EP - 1519
BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
T2 - 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Y2 - 15 December 2009 through 18 December 2009
ER -