bibtype M - Monography Chapter
ARLID 0364850
utime 20240103195603.9
mtime 20111103235959.9
WOS 000303779200002
SCOPUS 84885647522
DOI 10.1007/978-3-642-24647-0
title (primary) (eng) On Support of Imperfect Bayesian Participants
specification
page_count 27 s.
book_pages 210
serial
ARLID cav_un_epca*0364849
ISBN 978-3-642-24646-3
title Decision Making with Imperfect Decision Makers
part_num chapter 2
part_title On Support of Imperfect Bayesian Participants
page_num 29-56
publisher
place Berlin Heidelberg
name Springer
year 2012
keyword Decision Making
keyword Imperfect Decision Makers
keyword Intelligent Systems
author (primary)
ARLID cav_un_auth*0101124
name1 Kárný
name2 Miroslav
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101092
name1 Guy
name2 Tatiana Valentine
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2012/AS/karny-0364850.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
country CZ
ARLID cav_un_auth*0001814
project
project_id GA102/08/0567
agency GA ČR
ARLID cav_un_auth*0239566
research CEZ:AV0Z10750506
abstract (eng) 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.
reportyear 2012
RIV IN
mrcbC52 4 A 4a 20231122134701.9
permalink http://hdl.handle.net/11104/0200225
arlyear 2012
mrcbTft \nSoubory v repozitáři: karny-0364850.pdf
mrcbU14 84885647522 SCOPUS
mrcbU34 000303779200002 WOS
mrcbU63 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