0048365 20240111140643.320061220235959.9 11 s. CD-ROM cav_un_epca*007768480-903834-1-6245-255PrahaÚTIA AV ČR2006Šmídl V.PřikrylJ.AndrýsekJ. distributed decision making Bayesian approach cav_un_auth*0101207 Šmídl Václav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101061 Andrýsek Josef UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. textový dokument http://as.utia.cz/publications/2006/SmiAnd_06.pdf 09I 1M0572 GA MŠk cav_un_auth*0001814 1ET100750401 GA AV ČR cav_un_auth*0001792 CEZ:AV0Z10750506 Decision-making under uncertainty is a natural part of everyday life of every human being. In societal science, various aspects of decision-making were studied, mostly in the area of psychology. In technical science, the process was formalized using probability theory yielding so called Bayesian theory of decision making. However, one of the key assumptions of this theory is that the decision-maker is the only entity that intentionally influences the system. This assumption is certainly violated in more complicated systems, such as human society or distributed control. Recently, a series of papers attempts to offer an extension of the Bayesian theory for many decision-makers, i.e. decentralized stochastic control. Since there are no proofs of optimality of the proposed Bayesian distributed decision making available in the literature, we study this approach via experimental simulation studies. Práce obsahuje první experimentální ověření teorie distribuovaného Bayesovského rozhodování. cav_un_auth*0217371 International PhD Workshop on Interplay of Societal and Technical Decision-Making, Young Generation Viewpoint /7./ Hrubá Skála 25.09.2006-30.09.2006 CZ 2007 BC http://hdl.handle.net/11104/0139019 2006 textový dokument cav_un_epca*0077684 Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint 80-903834-1-6 245 255 Praha ÚTIA AV ČR 2006 Šmídl V. 340 Přikryl J. 340 Andrýsek J. 340