bibtype A - Abstract
ARLID 0599299
utime 20250131152936.0
mtime 20241011235959.9
title (primary) (eng) Má kvantová verze teorie rozhodování smysl?
publisher
pub_time 2023
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0599608
title The Stochastic and Physical Monitoring Systems 2022 (SPMS 2022)
publisher
place Praha
name ČVUT
year 2023
title (eng) Does quantum version of decision theory make sense?
keyword decision-making
keyword quantum decision making
author (primary)
ARLID cav_un_auth*0469824
name1 Gaj
name2 Aleksej
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
country CZ
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101124
name1 Kárný
name2 Miroslav
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
garant A
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://indico.fjfi.cvut.cz/event/243/contributions/4186/contribution.pdf
source
url https://library.utia.cas.cz/separaty/2024/AS/gaj-0599299.pdf
cas_special
abstract (eng) Contemporary decision making (DM) theory stands on classical probability. However, it has been shown that there is a variety of situations when the decision theory fails to explain some psychological and cognitive effects observed in human decision making. Other aspects not covered by the classical approach are that the results of merging information depend on the order of merging, or that the observation influences the next state. The main question posed is whether quantum probability is suitable for DM and can solve these problems.\nThis contribution introduces some of the potential ways how to construct quantum formulation of DM task and discusses related open questions.
action
ARLID cav_un_auth*0474612
name The Stochastic and Physical Monitoring Systems 2022 (SPMS 2022) /13./
dates 20220623
mrcbC20-s 20220626
place Rumburk
country CZ
RIV IN
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2025
num_of_auth 2
presentation_type ZP
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0357053
confidential S
article_num 16
arlyear 2023
mrcbU02 A2
mrcbU10 2023
mrcbU63 cav_un_epca*0599608 The Stochastic and Physical Monitoring Systems 2022 (SPMS 2022) Praha ČVUT 2023