Automated Preference Elicitation for Decision Making

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00389631" target="_blank" >RIV/67985556:_____/13:00389631 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-36406-8_3" target="_blank" >http://dx.doi.org/10.1007/978-3-642-36406-8_3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-36406-8_3" target="_blank" >10.1007/978-3-642-36406-8_3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automated Preference Elicitation for Decision Making

Popis výsledku v původním jazyce

In the contemporary complex world decisions are made by an imperfect participant devoting limited deliberation resources to any decision-making task. A normative decision-making (DM) theory should provide support systems allowing such a participant to make rational decisions in spite of the limited resources. Efficiency of the support systems depends on the interfaces enabling a participant to benefit from the support while exploiting the gradually accumulating knowledge about DM environment and respecting incomplete, possibly changing, participant?s DM preferences. The insufficiently elaborated preference elicitation makes even the best DM supports of a limited use. This chapter proposes a methodology of automatic eliciting of a quantitative DM preference description, discusses the options made and sketches open research problems. The proposed elicitation serves to fully probabilistic design, which includes a standard Bayesian decision making.

Název v anglickém jazyce

Automated Preference Elicitation for Decision Making

Popis výsledku anglicky

In the contemporary complex world decisions are made by an imperfect participant devoting limited deliberation resources to any decision-making task. A normative decision-making (DM) theory should provide support systems allowing such a participant to make rational decisions in spite of the limited resources. Efficiency of the support systems depends on the interfaces enabling a participant to benefit from the support while exploiting the gradually accumulating knowledge about DM environment and respecting incomplete, possibly changing, participant?s DM preferences. The insufficiently elaborated preference elicitation makes even the best DM supports of a limited use. This chapter proposes a methodology of automatic eliciting of a quantitative DM preference description, discusses the options made and sketches open research problems. The proposed elicitation serves to fully probabilistic design, which includes a standard Bayesian decision making.

Druh

C - Kapitola v odborné knize

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F08%2F0567" target="_blank" >GA102/08/0567: Plně pravděpodobnostní návrh dynamických rozhodovacích strategií</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Decision Making and Imperfection

ISBN

978-3-642-36405-1

Počet stran výsledku

35

Strana od-do

65-99

Počet stran knihy

187

Název nakladatele

Springer

Místo vydání

Berlin

Kód UT WoS kapitoly

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