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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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