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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F12%3A00386716%21RIV13-AV0-67985556
rdf:type
n12:Vysledek skos:Concept
dcterms:description
Prescriptive Bayesian decision making has reached its maturity and is supported by efficient, theoretically well-founded algorithms. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision making that it should be accepted as an inherent feature of real decision makers living within interacting societies. Such societies have been investigated from an economic and game-theoretic perspective but little work has been done from the perspective of computer science, machine learning, information theory and neuroscience. The workshop Decision Making with Multiple Imperfect Decision Makers, held after the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010) was a step in bringing such alternative viewpoints to bear on the topic of understanding societies of imperfect decision makers. Prescriptive Bayesian decision making has reached its maturity and is supported by efficient, theoretically well-founded algorithms. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision making that it should be accepted as an inherent feature of real decision makers living within interacting societies. Such societies have been investigated from an economic and game-theoretic perspective but little work has been done from the perspective of computer science, machine learning, information theory and neuroscience. The workshop Decision Making with Multiple Imperfect Decision Makers, held after the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010) was a step in bringing such alternative viewpoints to bear on the topic of understanding societies of imperfect decision makers.
dcterms:title
Decision Making with Imperfect Decision Makers Decision Making with Imperfect Decision Makers
skos:prefLabel
Decision Making with Imperfect Decision Makers Decision Making with Imperfect Decision Makers
skos:notation
RIV/67985556:_____/12:00386716!RIV13-AV0-67985556
n12:predkladatel
n17:ico%3A67985556
n3:aktivita
n20:Z n20:P n20:I
n3:aktivity
I, P(GA102/08/0567), Z(AV0Z10750506), Z(AV0Z1075907)
n3:dodaniDat
n5:2013
n3:domaciTvurceVysledku
n16:6585256 n16:4780280
n3:druhVysledku
n6:B
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
129768
n3:idVysledku
RIV/67985556:_____/12:00386716
n3:jazykVysledku
n22:eng
n3:klicovaSlova
decision making; Bayesian decision making; rationality
n3:klicoveSlovo
n10:rationality n10:Bayesian%20decision%20making n10:decision%20making
n3:kontrolniKodProRIV
[7F08D907CD99]
n3:mistoVydani
Berlin
n3:nazevEdiceCisloSvazku
Intelligent Systems Reference Library, 28
n3:nazevZdroje
Decision Making with Imperfect Decision Makers
n3:obor
n18:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetStranKnihy
194
n3:pocetTvurcuVysledku
3
n3:projekt
n19:GA102%2F08%2F0567
n3:rokUplatneniVysledku
n5:2012
n3:tvurceVysledku
Wolpert, D. H. Guy, Tatiana Valentine Kárný, Miroslav
n3:zamer
n13:AV0Z10750506 n13:AV0Z1075907
s:numberOfPages
194
n15:doi
10.1007/978-3-642-24647-0
n21:hasPublisher
Springer-Verlag
n9:isbn
978-3-642-24646-3