0315651 20240111140710.920081202235959.9 Milano Istituto di Matematica Applicata e Tecnologie Informatiche 2008 24 s. www Research report - Istituto di Matematica Applicata e Tecnologie Informatiche group decision fully probabilistic design processing of fragmental information cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine 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 pdf http://library.utia.cas.cz/separaty/2008/AS/karny-cooperation via sharing of probabilistic elements.pdf 2C06001 GA MŠk cav_un_auth*0217685 1M0572 GA MŠk cav_un_auth*0001814 GA102/08/0567 GA ČR cav_un_auth*0239566 CEZ:AV0Z10750506 Interactions of large societal groups exhibit predominantly a flat structure. It means that each member of the group has its aims, restricted perceiving, modelling, acting and evaluating abilities and interacts with a relatively small number of "neighbors". This is the fully scalable cooperation model worth of imitating. The paper introduces a formal model of this type with individual members being Bayesian decision makers who use so called fully probabilistic design of the optimal decision strategy. They are willing to cooperate with neighbors by providing them probabilistic distributions they use for their decision making (DM). At present research stage, interaction and communication structure are assumed to be given. Thus, the group DM is determined by specifying how the offered non-standard (probabilistic) fragmental information pieces should be exploited. The paper proposes a systematic procedure by formulating and solving the exploitation problem in a Bayesian way. 2009 BB 4 O 4o 20231122133745.8 http://hdl.handle.net/11104/0165793 2008 Soubory v repozitáři: 0315651.pdf 2008 Milano Istituto di Matematica Applicata e Tecnologie Informatiche pdf