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The paper concerns a cooperation problem in multiple participant decision making (DM). A fully scalable cooperation model with individual participants being Bayesian decision makers who use fully probabilistic design of the optimal decision strategy is presented. The solution suggests a flat structure of cooperation, where each participant interacts with several 'neighbours'. The cooperation consists in providing probabilistic distributions a participant uses for its DM. The group DM is thendoi:10.1504/ijcistudies.2009.031344 fatcat:uo7grkkpbjfonk6lxyosdf5o6u