Fully Probabilistic Design Unifies and Supports Dynamic Decision Making Under Uncertainty
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00508962" target="_blank" >RIV/67985556:_____/20:00508962 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0020025519308230" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025519308230</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2019.08.082" target="_blank" >10.1016/j.ins.2019.08.082</a>
Alternative languages
Result language
angličtina
Original language name
Fully Probabilistic Design Unifies and Supports Dynamic Decision Making Under Uncertainty
Original language description
The fully probabilistic design (FPD) of decision strategies models the closed decision loop as well as decision aims and constraints by joint probabilities of involved variables. FPD takes the minimiser of cross entropy (CE) of the closed-loop model to its ideal counterpart, expressing the decision aims and constraints, as the optimal strategy. FPD: (a) got an axiomatic basis. (b) extended the decision making (DM) optimising a subjective expected utility (SEU). (c) was nontrivially applied. (d) advocated CE as a proper similarity measure for an approximation of a given probability distribution. (d) generalised the minimum CE principle for a choice of the distribution, which respects its incomplete specification. (e) has opened a way to the cooperation based on sharing of probability distributions. When trying to survey the listed results, scattered in a range of publications, we have found that the results under (b), (d) and (e) can be refined and non-trivially generalised. This determines the paper aims: to provide a complete concise description of FPD with its use and open problems outlined.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTC18075" target="_blank" >LTC18075: Distributed rational decision making: cooperation aspects</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Information Sciences
ISSN
0020-0255
e-ISSN
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Volume of the periodical
509
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
104-118
UT code for WoS article
000494883700007
EID of the result in the Scopus database
2-s2.0-85071921926