- Ambiguity effect: decision-making influenced by lack of information
Number of the records: 1  

Ambiguity effect: decision-making influenced by lack of information

  1. 1.
    SYSNO ASEP0547793
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleAmbiguity effect: decision-making influenced by lack of information
    Author(s) Jiroušek, Radim (UTIA-B) ORCID
    Kratochvíl, Václav (UTIA-B) RID, ORCID
    Number of authors2
    Article number9584706
    Source Title2021 IEEE International Conference on Technology and Entrepreneurship (ICTE). - Piscataway : IEEE, 2021 - ISBN 978-1-6654-3895-7
    Number of pages6 s.
    Publication formOnline - E
    ActionInternational Conference on Technology and Entrepreneurship 2021
    Event date24.08.2021 - 27.08.2021
    VEvent locationKaunas
    CountryLT - Lithuania
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordsdecision making ; ambiguity ; belief function ; subjective characteristics
    Subject RIVBD - Theory of Information
    OECD categoryStatistics and probability
    Institutional supportUTIA-B - RVO:67985556
    DOI https://doi.org/10.1109/ICTE51655.2021.9584706
    AnnotationQuite often, the best human decision-makers outperform computer-aided decision systems. It is not only because humans can take into account faint pieces of information that cannot be formalized but also that they occasionally behave intuitively, which can hardly be incorporated into a formal optimization criterion. Therefore, mathematicians enhance their decision models to make their behavior similar to that of human decision-makers. They fit decision models up with different parameters controlling the optimality of the considered decision. From this point of view, the simplest and perhaps the most popular is the Hurwitz coefficient of pessimism controlling whether the decision process tends to expect more the best or the worst outcome. In this paper, we design a model with a parameter controlling the strength of ambiguity aversion of the resulting decision process.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2022
Number of the records: 1  

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