Decision Making and Imperfection

0389631 - ÚTIA 2013 RIV DE eng M - Monography Chapter
Kárný, Miroslav
Automated Preference Elicitation for Decision Making.
Decision Making and Imperfection. Vol. 3. Berlin: Springer, 2013, s. 65-99. Studies in Computational Intelligence, 474. ISBN 978-3-642-36405-1
R&D Projects: GA ČR GA13-13502S; GA ČR GA102/08/0567
Institutional research plan: CEZ:AV0Z1075907
Institutional support: RVO:67985556
Keywords : Bayesian decision making * fully probabilistic design * DM preference elicitation * support of imperfect participants
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2013/AS/karny-0389631.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0219534