Decision Making with Imperfect Decision Makers

0364850 - ÚTIA 2012 RIV DE eng M - Část monografie knihy
Kárný, Miroslav - Guy, Tatiana Valentine
On Support of Imperfect Bayesian Participants.
Decision Making with Imperfect Decision Makers. Vol. chapter 2. Intelligent Systems Reference Library. Berlin Heidelberg: Springer, 2012, s. 29-56. Vol. 28. ISBN 978-3-642-24646-3
Grant CEP: GA MŠMT(CZ) 1M0572; GA ČR GA102/08/0567
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: Decision Making * Imperfect Decision Makers * Intelligent Systems
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2012/AS/karny-0364850.pdf

Bayesian decision theory provides a strong theoretical basis for a singleparticipant decision making under uncertainty, that can be extended to multipleparticipant decision making. However, this theory (similarly as others) assumes unlimited abilities of a participant to probabilistically model the participant’s environment and to optimise its decision-making strategy. The proposed methodology solves knowledge and preference elicitation, as well as sharing of individual, possibly fragmental, knowledge and preferences among imperfect participants. The approach helps to overcome the non-realistic assumption on participants’ unlimited abilities.
Trvalý link: http://hdl.handle.net/11104/0200225