0339283 20240103193131.420100224235959.9 24 s. cav_un_epca*03394451755-4977139-162 Bayesian decision making multiple participant decision making cav_un_auth*0101124 Kárný Miroslav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0205835 Bodini A. IT cav_un_auth*0205836 Ruggeri F. IT http://library.utia.cas.cz/separaty/2010/AS/karny-cooperation via sharing of probabilistic information.pdf GA102/08/0567 GA ČR cav_un_auth*0239566 2C06001 GA MŠk cav_un_auth*0217685 CEZ:AV0Z10750506 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 then determined by a way of exploitation of the offered non-standard (probabilistic) fragmental information. The paper proposes a systematic procedure by formulating and solving the exploitation problem in a Bayesian way. 2010 BB http://hdl.handle.net/11104/0182856 2009 cav_un_epca*0339445 International Journal of Computational Intelligence Studies 1755-4977 Vol. 1 No. 2 2009 139 162