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Conference Paper (international conference)

Distributed Bayesian Decision Making: Early Experiments

Šmídl Václav, Andrýsek Josef

: Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint, p. 245-255 , Eds: Šmídl  V., Přikryl J., Andrýsek J.

: International PhD Workshop on Interplay of Societal and Technical Decision-Making, Young Generation Viewpoint /7./, (Hrubá Skála, CZ, 25.09.2006-30.09.2006)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, 1ET100750401, GA AV ČR

: distributed decision making, Bayesian approach

: http://as.utia.cz/publications/2006/SmiAnd_06.pdf

(eng): 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.

(cze): Práce obsahuje první experimentální ověření teorie distribuovaného Bayesovského rozhodování.

: 09I

: BC

2019-01-07 08:39