About: On Approximate Fully Probabilistic Design of Decision-Making Units

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	An efficient support of a single decision maker is vital in constructing scalable systems addressing complex decision-making (DM) tasks. Fully probabilistic design (FPD) of DM strategies, an extension of dynamic Bayesian DM, provides a firm basis for such a support. The limited cognitive and evaluation resources of the supported decision maker cause that theoretically optimal solutions are realised only approximately. Thus, the truly efficient support has to include reliable means for constructing approximate solutions of DM subtasks. The current paper deals with the design of the approximately optimal DM strategy for a known environment model and adequately described DM preferences. The design relies on: a) the explicit minimiser found within FPD; b) randomised nature of the strategy provided by FPD. An efficient support of a single decision maker is vital in constructing scalable systems addressing complex decision-making (DM) tasks. Fully probabilistic design (FPD) of DM strategies, an extension of dynamic Bayesian DM, provides a firm basis for such a support. The limited cognitive and evaluation resources of the supported decision maker cause that theoretically optimal solutions are realised only approximately. Thus, the truly efficient support has to include reliable means for constructing approximate solutions of DM subtasks. The current paper deals with the design of the approximately optimal DM strategy for a known environment model and adequately described DM preferences. The design relies on: a) the explicit minimiser found within FPD; b) randomised nature of the strategy provided by FPD. (en)
Title	On Approximate Fully Probabilistic Design of Decision-Making Units On Approximate Fully Probabilistic Design of Decision-Making Units (en)
skos:prefLabel	On Approximate Fully Probabilistic Design of Decision-Making Units On Approximate Fully Probabilistic Design of Decision-Making Units (en)
skos:notation	RIV/67985556:_____/13:00396808!RIV14-GA0-67985556
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(GA13-13502S)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Kárný, Miroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	93652
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/13:00396808
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	decision making; Bayesian learning; minimum cross-entropy principle; fully probabilistic design of DM strategies; linear-quadratic DM (en)
http://linked.open.../riv/klicoveSlovo	decision making Bayesian learning fully probabilistic design of DM strategies linear-quadratic DM minimum cross-entropy principle
http://linked.open...ontrolniKodProRIV	[2952930CA1AD]
http://linked.open...v/mistoKonaniAkce	Prague
http://linked.open...i/riv/mistoVydani	Prague
http://linked.open...i/riv/nazevZdroje	Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Fully Probabilistic Design of Dynamic Decision Strategies for Imperfect Participants in Market Scenarios
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Kárný, Miroslav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-09-23 (xsd:date)
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Ústav teorie informace a automatizace AV ČR
https://schema.org/isbn	978-80-903834-8-7

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