TY - GEN
T1 - Bayesian social learning with decision making in multiple rounds
AU - Wang, Yunlong
AU - Gan, Lingqing
AU - Djurić, Petar M.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - In this paper, we consider the problem of social learning in a network of agents where the agents make decisions repeatedly on two hypotheses. At every time slot, each agent in the system obtains sequentially a private observation that is independently generated under one of the hypotheses, and makes a decision on choosing the true hypothesis. The private belief of each agent is the posterior of one of the hypotheses conditioned on its private observations and the latest decision of the other agents. This private belief is used for the agent's decision making. We present a Bayesian learning scheme for the agents that exploits information from the other decisions. We show that an information loop in decisions can be avoided in the studied system. We demonstrate the performance of the method by computer simulations.
AB - In this paper, we consider the problem of social learning in a network of agents where the agents make decisions repeatedly on two hypotheses. At every time slot, each agent in the system obtains sequentially a private observation that is independently generated under one of the hypotheses, and makes a decision on choosing the true hypothesis. The private belief of each agent is the posterior of one of the hypotheses conditioned on its private observations and the latest decision of the other agents. This private belief is used for the agent's decision making. We present a Bayesian learning scheme for the agents that exploits information from the other decisions. We show that an information loop in decisions can be avoided in the studied system. We demonstrate the performance of the method by computer simulations.
UR - http://www.scopus.com/inward/record.url?scp=84963930502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963930502&partnerID=8YFLogxK
U2 - 10.1109/CAMSAP.2015.7383785
DO - 10.1109/CAMSAP.2015.7383785
M3 - Conference contribution
AN - SCOPUS:84963930502
T3 - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
SP - 257
EP - 260
BT - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Y2 - 13 December 2015 through 16 December 2015
ER -