bibtype A - Abstract
ARLID 0599295
utime 20241021114043.9
mtime 20241011235959.9
title (primary) (eng) O využití Everettovy interpretace kvantové mechaniky v teorii rozhodování
publisher
pub_time 2022
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0599608
title The Stochastic and Physical Monitoring Systems 2023 (SPMS 2023)
publisher
place Praha
name ČVUT
year 2023
title (eng) About Use of Everett’s Interpretation of Quantum Mechanics for Decision Making
keyword decision-making
keyword multi-world interpretation of quantum mechanics
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
department AS
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/205/contributions/3764/contribution.pdf
source
url https://library.utia.cas.cz/separaty/2024/AS/gaj-0599295.pdf
cas_special
abstract (eng) Modern decision making (DM) theory stands on classical probability. But there seems to be 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. Main question posed is whether quantum probability is suitable for DM and can solve these problems.\nThe contribution tries to formulate a decision making task by using Everett’s many-worlds interpretation of quantum mechanics. The targeted long-term perspective is to use Everett’s interpretation to develop a quantum version of fully probabilistic design of decision strategies. The presentation will cover the very preliminary results.
action
ARLID cav_un_auth*0474612
name The Stochastic and Physical Monitoring Systems 2023 (SPMS 2023) /14./
dates 20230626
mrcbC20-s 20230630
place Sloup
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/11104/0357051
confidential S
article_num 34
arlyear 2023
mrcbU02 A2
mrcbU10 2022
mrcbU63 cav_un_epca*0599608 The Stochastic and Physical Monitoring Systems 2023 (SPMS 2023) ČVUT 2023 Praha