Cooperation via sharing of probabilistic information

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00339283" target="_blank" >RIV/67985556:_____/09:00339283 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Cooperation via sharing of probabilistic information

Original language 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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Computational Intelligence Studies

ISSN

1755-4977

e-ISSN

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Volume of the periodical

1

Issue of the periodical within the volume

2

Country of publishing house

IT - ITALY

Number of pages

24

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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