Sharing of knowledge and preferences among imperfect Bayesian decision makers

0350838 - ÚTIA 2011 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Kárný, Miroslav - Guy, Tatiana Valentine
Sharing of knowledge and preferences among imperfect Bayesian decision makers.
Decision Making with Multiple Imperfect Decision Makers. Prague: Institute of Information Theory and Automation Academy of Sciences of the Czech Republic, 2010 - (Guy, T.; Karny, M.; Wolpert, D.), s. 1-6. ISBN 978-80-903834-5-6.
[24th Annual Conference on Neural Information Processing Systems. Whistler, B.C. Canada (CA), 06.12.2010-11.12.2010]
Grant CEP: GA MŠMT(CZ) 1M0572; GA ČR GA102/08/0567
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: knowledge sharing * preference sharing * Bayesian decision makers
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
http://library.utia.cas.cz/separaty/2010/AS/karny-sharing of knowledge and preferences among imperfect bayesian decision makers.pdf

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 to probabilistically 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´s unlimited abilities.
Trvalý link: http://hdl.handle.net/11104/0190730