Sharing of knowledge and preferences among imperfect Bayesian decision makers

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00350838" target="_blank" >RIV/67985556:_____/10:00350838 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Sharing of knowledge and preferences among imperfect Bayesian decision makers
Original language description
Bayesian decision theory provides a strong theoretical basis for a single-participant decision making under uncertainty, that can be extended to multi-participant problems. However Bayesian decision theory assumes unlimited abilities of a participant toprobabilistically model participant´s environment and to optimise decision-making strategy. The paper proposes a methodology for sharing of knowledge and strategies among participants, that helps to overcome the non-realistic assumption on participant´sunlimited abilities.
Czech name
—
Czech description
—

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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Decision Making with Multiple Imperfect Decision Makers
ISBN
978-80-903834-5-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
Institute of Information Theory and Automation Academy of Sciences of the Czech Republic
Place of publication
Prague
Event location
Whistler, B.C. Canada
Event date
Dec 6, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)