About: Cooperation via sharing of probabilistic information

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Cooperation via sharing of probabilistic information Cooperation via sharing of probabilistic information (en)
skos:prefLabel	Cooperation via sharing of probabilistic information Cooperation via sharing of probabilistic information (en)
skos:notation	RIV/67985556:_____/09:00339283!RIV10-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(2C06001), P(GA102/08/0567), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Guy, Tatiana Valentine Kárný, Miroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	308331
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/09:00339283
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Bayesian decision making; multiple participant; decision making (en)
http://linked.open.../riv/klicoveSlovo	Bayesian decision making multiple participant decision making
http://linked.open...odStatuVydavatele	IT - Italská republika
http://linked.open...ontrolniKodProRIV	[E238111EA9BD]
http://linked.open...i/riv/nazevZdroje	International Journal of Computational Intelligence Studies
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Fully probabilistic design of dynamic decision strategies Fully probabilistic design of adaptive decision-making strategies suitable under informationally demanding conditions
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	1
http://linked.open...iv/tvurceVysledku	Guy, Tatiana Valentine Kárný, Miroslav Bodini, A. Ruggeri, F.
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
issn	1755-4977
number of pages	24 (xsd:int)

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