bibtype U - Conference, Workshop Arrangement
ARLID 0476341
utime 20240103214300.3
mtime 20170720235959.9
title (primary) (eng) IMPERFECT DECISION MAKERS: ADMITTING REAL-WORLD RATIONALITY a workshop in conjunction with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)\n
keyword IMPERFECT DECISION MAKERS
keyword Rationality
keyword Bayesian theory
keyword limited cognitive resources
author (primary)
ARLID cav_un_auth*0101124
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
share 40
name1 Kárný
name2 Miroslav
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101092
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
share 60
name1 Guy
name2 Tatiana Valentine
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://www.utia.cz/imperfectDM
cas_special
project
ARLID cav_un_auth*0331019
project_id GA16-09848S
agency GA ČR
abstract (eng) The prescriptive Bayesian theory of decision making (DM) under uncertainty has reached a high level of maturity. The assumption that the decision maker is rational (i.e. that they optimize expected utility, in Savage's formulation) is central to this theory. However, empirical research indicates that this central assumption is often violated by real decision makers. This limits the ability of the prescriptive Bayesian theory to provide a descriptive theory of the real world. One of the reasons that have been proposed for why the assumption of rationality might be violated by real decision makers is the limited cognitive and computational resources of those decision makers. This workshop intends to inspect this core assumption and to consider possible ways to modify or complement it.
action
dates 20161209
mrcbC20-s 20161209
place Barcelona
country ES
url http://www.utia.cz/imperfectDM
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2018
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0273532
mrcbC62 1
confidential S
arlyear 2016