Preference Elicitation within Framework of Fully Probabilistic Design of Decision Strategies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00519795" target="_blank" >RIV/67985556:_____/19:00519795 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.656" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2019.12.656</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.656" target="_blank" >10.1016/j.ifacol.2019.12.656</a>

Result language
angličtina
Original language name
Preference Elicitation within Framework of Fully Probabilistic Design of Decision Strategies
Original language description
The paper proposes the preference-elicitation support within the framework of fully probabilistic design (FPD) of decision strategies. Agent employing FPD uses probability densities to model thenclosed-loop behaviour, i.e. a collection of all observed, opted and considered random variables. Opted actions are generated by a randomised strategy. The optimal decision strategy minimises KullbackLeibler divergence of the closed-loop model to its ideal counterpart describing the agent’s preferences. Thus, selecting the ideal closed-loop model comprises preference elicitation.nThe paper provides a general choice of the best ideal closed-loop model reflecting agent’s preferences. The foreseen application potential of such a preference elicitation is high as FPD is a non-trivial dense extension of Bayesian decision making that dominates prescriptive decision theories. The general solution is illustrated on the regulation task with a linear Gaussian model describing the agent’s environment.
Czech name
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Czech description
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Project
<a href="/en/project/LTC18075" target="_blank" >LTC18075: Distributed rational decision making: cooperation aspects</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IFAC-PapersOnLine. Volume 52, Issue 29 - Proceedings of the 13th IFAC Workshop on Adaptive and Learning Control Systems 2019
ISBN
—
ISSN
2405-8963
e-ISSN
—
Number of pages
6
Pages from-to
239-244
Publisher name
Elsevier
Place of publication
Amsterdam
Event location
Winchester
Event date
Dec 4, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000507495600041

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