bibtype C - Conference Paper (international conference)
ARLID 0368326
utime 20240103195941.1
mtime 20111208235959.9
title (primary) (eng) Towards a Supra-Bayesian Approach to Merging of Information
specification
page_count 6 s.
serial
ARLID cav_un_epca*0368293
ISBN 978-80-903834-6-3
title The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
page_num 81-86
publisher
place Prague
name Institute of Information Theory and Automation
year 2011
keyword decision makers
keyword Supra-Bayesian
keyword Bayesian solution
keyword Merging
author (primary)
ARLID cav_un_auth*0263972
name1 Sečkárová
name2 Vladimíra
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.
source
url http://library.utia.cas.cz/separaty/2011/AS/seckarova-towards a supra-bayesian approach to merging of information.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id GA102/08/0567
agency GA ČR
ARLID cav_un_auth*0239566
research CEZ:AV0Z10750506
abstract (eng) Merging of information given by different decision makers (DMs) has become a much discussed topic in recent years and many procedures were developed towards it. The main and the most discussed problem is the incompleteness of given information. Little attention is paid to the possible forms in which the DMs provide them; in most of cases arising procedures are working only for a particular type of information. Recently introduced Supra-Bayesian approach to merging of information brings a solution to two previously mentioned problems. All is based on a simple idea of unifying all given information into one form and treating the possible incompleteness. In this article, beside a brief repetition of the method, we show, that the constructed merger of information reduces to the Bayesian solution if information calls for this.
action
ARLID cav_un_auth*0276749
name The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
place Sierra Nevada
dates 16.12.2011-16.12.2011
country ES
reportyear 2012
RIV BB
num_of_auth 1
permalink http://hdl.handle.net/11104/0202703
arlyear 2011
mrcbU63 cav_un_epca*0368293 The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) 978-80-903834-6-3 81 86 The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) Prague Institute of Information Theory and Automation 2011