Original title: Distributed Bayesian Decision Making: Early Experiments
Translated title: První experimenty s distribuovaným Bayesovským rozhodováním
Authors: Šmídl, Václav ; Andrýsek, Josef
Document type: Papers
Conference/Event: International PhD Workshop on Interplay of Societal and Technical Decision-Making, Young Generation Viewpoint /7./, Hrubá Skála (CZ), 2006-09-25 / 2006-09-30
Year: 2006
Language: eng
Abstract: [eng] [cze]
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.
Keywords: Bayesian approach; distributed decision making
Project no.: CEZ:AV0Z10750506 (CEP), 1M0572 (CEP), 1ET100750401 (CEP)
Funding provider: GA MŠk, GA AV ČR
Host item entry: Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint, ISBN 80-903834-1-6

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://as.utia.cz/publications/2006/SmiAnd_06.pdf
Original record: http://hdl.handle.net/11104/0139019

Permalink: http://www.nusl.cz/ntk/nusl-36140


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers