Decision Making with Imperfect Decision Makers

0364850 - ÚTIA 2012 RIV DE eng M - Monography Chapter
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
R&D Projects: GA MŠMT(CZ) 1M0572; GA ČR GA102/08/0567
Institutional research plan: CEZ:AV0Z10750506
Keywords : Decision Making * Imperfect Decision Makers * Intelligent Systems
Subject RIV: IN - Informatics, Computer Science
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.
Permanent Link: http://hdl.handle.net/11104/0200225