0364850 20240103195603.920111103235959.9 000303779200002 84885647522 10.1007/978-3-642-24647-0 27 s. 210 cav_un_epca*0364849978-3-642-24646-3chapter 2On Support of Imperfect Bayesian Participants29-56Berlin HeidelbergSpringer2012 Decision Making Imperfect Decision Makers Intelligent Systems cav_un_auth*0101124 Kárný Miroslav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/AS/karny-0364850.pdf 1M0572 GA MŠk CZ cav_un_auth*0001814 GA102/08/0567 GA ČR cav_un_auth*0239566 CEZ: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’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. 2012 IN 4 A 4a 20231122134701.9 http://hdl.handle.net/11104/0200225 2012 Soubory v repozitáři: karny-0364850.pdf 84885647522 SCOPUS 000303779200002 WOS cav_un_epca*0364849 Decision Making with Imperfect Decision Makers On Support of Imperfect Bayesian Participants chapter 2 978-3-642-24646-3 29 56 Berlin Heidelberg Springer 2012 Intelligent Systems Reference Library Vol. 28