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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F09%3A00339283%21RIV10-MSM-67985556
rdf:type
n7:Vysledek skos:Concept
dcterms: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.
dcterms:title
Cooperation via sharing of probabilistic information Cooperation via sharing of probabilistic information
skos:prefLabel
Cooperation via sharing of probabilistic information Cooperation via sharing of probabilistic information
skos:notation
RIV/67985556:_____/09:00339283!RIV10-MSM-67985556
n3:aktivita
n9:P n9:Z
n3:aktivity
P(2C06001), P(GA102/08/0567), Z(AV0Z10750506)
n3:cisloPeriodika
2
n3:dodaniDat
n12:2010
n3:domaciTvurceVysledku
n16:4780280 n16:6585256
n3:druhVysledku
n4:J
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
308331
n3:idVysledku
RIV/67985556:_____/09:00339283
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Bayesian decision making; multiple participant; decision making
n3:klicoveSlovo
n6:Bayesian%20decision%20making n6:multiple%20participant n6:decision%20making
n3:kodStatuVydavatele
IT - Italská republika
n3:kontrolniKodProRIV
[E238111EA9BD]
n3:nazevZdroje
International Journal of Computational Intelligence Studies
n3:obor
n17:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
4
n3:projekt
n8:2C06001 n8:GA102%2F08%2F0567
n3:rokUplatneniVysledku
n12:2009
n3:svazekPeriodika
1
n3:tvurceVysledku
Guy, Tatiana Valentine Bodini, A. Ruggeri, F. Kárný, Miroslav
n3:zamer
n14:AV0Z10750506
s:issn
1755-4977
s:numberOfPages
24