"[A62FC422BA62]" . "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\u2019s 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\u2019 unlimited abilities."@en . . "On Support of Imperfect Bayesian Participants"@en . . "210"^^ . . "On Support of Imperfect Bayesian Participants" . . "Berlin Heidelberg" . . . . . "On Support of Imperfect Bayesian Participants"@en . "10.1007/978-3-642-24647-0" . "27"^^ . . "978-3-642-24646-3" . . . "K\u00E1rn\u00FD, Miroslav" . . "On Support of Imperfect Bayesian Participants" . . . "Decision Making; Imperfect Decision Makers; Intelligent Systems"@en . "Springer-Verlag" . . "2"^^ . "Vol. 28" . . "RIV/67985556:_____/12:00364850" . "RIV/67985556:_____/12:00364850!RIV12-AV0-67985556" . . "156343" . "2"^^ . "P(1M0572), P(GA102/08/0567), Z(AV0Z10750506)" . . "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\u2019s 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\u2019 unlimited abilities." . "Guy, Tatiana Valentine" . . . "Decision Making with Imperfect Decision Makers" .